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Location: Montpellier, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team To sustain the company's growth, Ledger is looking for an Engineering Manager to lead the Cloud Wallet team. This team is responsible for the backend services that power blockchain account management, transaction processing, and on-chain data aggregation across all Ledger wallet surfaces, from Ledger Live to the Ledger Enterprise platform. We believe in the power of functional programming to build robust and scalable platforms. We take time to share, challenge, and grow together through bi-weekly knowledge-sharing sessions, meetups, conferences, and open source contributions. What you’ll be doing - Lead and grow your team. Own hiring, onboarding, performance management, and the professional development of your engineers. Run regular 1:1s, support career growth, and build a high-performing, engaged team. - Drive technical delivery. Own the team's roadmap and PI planning commitments. Ensure on-time, high-quality delivery across the team's service portfolio and ongoing architectural initiatives while coordinating across dependencies with Coin Integration, Ledger Enterprise, Ledger Live, and Infrastructure teams. - Maintain operational excellence. Own SLIs/SLOs for team services. Lead incident response posture and observability standards for production-critical systems. - Architect for scale and reliability. Partner with tech leads and staff engineers to drive sound technical decisions on a polyglot stack (TypeScript, Scala) handling high throughput, multi-chain complexity, and strict reliability requirements. Review ADRs and ensure architectural coherence. - Champion engineering practices. Drive strong standards on CI/CD, testing (including end-to-end on testnets), code review quality, technical debt management, and AI-assisted engineering workflows. - Contribute to org-level initiatives. Participate in cross-BU architectural working groups, PI planning, and engineering efficiency programs. You will collaborate cross-functionally with: - The Blockchain platform team for data model alignment, indexing and event streaming - The Coin Integration team for coin module ownership and new blockchain integrations - The Ledger Enterprise team for enterprise wallet features and operational alignment - The Ledger Live / Wallet XP teams as consumers of the team's backend APIs - The Infrastructure and SRE teams for platform reliability and scalability - The Product team for roadmap prioritization and customer-driven requirements - The Security team for vulnerability analysis and compliance What we’re looking for - Proven experience (3+ years) managing backend engineering teams in a product-driven, distributed environment - Strong technical background in backend systems. You can credibly challenge architectural decisions, review design documents, and unblock engineers on hard technical problems - Experience operating services at scale and familiarity with high-availability architectures, event-driven systems, and observability tooling (RabbitMQ, PostgreSQL, Flink, NATS, Datadog or equivalent) - Comfortable with polyglot stacks. The team works across TypeScript and Scala; you don't need to be an expert in both but need enough depth to lead effectively - Track record of navigating complex multi-team dependencies and influencing across organizational boundaries without direct authority - Excellent written and verbal communication skills in English - Bonus points: exposure to blockchain or crypto infrastructure (account indexing, transaction lifecycle, UTXO vs account-based models), and a genuine interest in the Web3 space

Location: Serbia Who we are: Action1 is an autonomous endpoint management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in minutes, it just works—and is always free for the first 200 endpoints, with no functional limitations. By pioneering autonomous OS and third-party patching, peer-to-peer patch distribution, and real-time vulnerability assessment without requiring a VPN, Action1 eliminates routine IT labor, helps prevent ransomware and other security risks, and protects the digital employee experience. In 2025, Action1 was recognized by the Inc. 5000 as the fastest-growing private software company in America. Action1 is founder-led by Alex Vovk and Mike Walters, entrepreneurs who previously founded Netwrix, a multibillion-dollar cybersecurity company. The Role We are looking for a Product Security Engineer to join the team responsible for securing Action1’s multi-tenant SaaS platform. In this role, you will work closely with engineering, product, and security teams to identify risks early, support vulnerability handling, strengthen secure development practices, and make product security practical, clear, and actionable. This is a hands-on role for someone who understands both software engineering and cybersecurity, enjoys working directly with developers, and wants to build security into the product without slowing teams down unnecessarily. What you'll do: Support Product Security Incident Response Team (PSIRT) and vulnerability-handling activities Validate, triage, track, and coordinate security reports Provide practical remediation guidance to engineering teams Help validate security fixes and reduce product security risks Review code, APIs, and system architecture to identify security issues early Conduct threat modeling and security design reviews Improve security automation within engineering workflows Support SAST, SCA, secrets scanning, and other security controls Maintain software bills of materials (SBOMs), dependency visibility, and remediation follow-up Support security assessments, vulnerability assessments, and penetration testing Maintain vulnerability-handling playbooks, product security procedures, and incident response runbooks Requirements What we are looking for: 3+ years of experience in product security, application security, DevSecOps, or a related cybersecurity field Strong software engineering background and the ability to work effectively with engineering teams Understanding of application, API, infrastructure, and software supply chain security risks Experience applying cloud security concepts and practices Understanding of identity and access management, network security, logging, monitoring, and secure cloud architecture patterns Familiarity with vulnerability management, incident response, security assessments, and secure software development lifecycle practices Experience with threat modeling and security design reviews Strong communication skills, including professional communication with external security researchers and vendors Ability to work independently and collaboratively in a fast-moving environment Nice to have: Genuine interest in cybersecurity and motivation to grow as a product security expert Hands-on experience with AWS security controls, best practices, and architecture patterns Hands-on experience with C++ or JavaScript Experience with security testing and automation using scripts, APIs, CI/CD pipelines, or specialized tools Experience conducting threat modeling for SaaS, API, cloud, or on-premises product components Experience with SBOM generation, dependency visibility, or software supply chain security Benefits What we offer: A fully remote work environment The opportunity to work on a real-world security product used by IT and security teams High ownership and a direct impact on product security practices Close collaboration with engineering, product, and security teams A fast-growing software company with low bureaucracy and practical decision-making The opportunity to improve security processes, automation, and engineering workflows A supportive team that values clear thinking, ownership, and continuous learning

Location: Dubai, United Arab Emirates We are looking for a dedicated and experienced Site Nurse to join our team and provide primary healthcare services at our construction site. The ideal candidate will be responsible for ensuring the health and safety of employees by providing first aid, managing medical emergencies, maintaining medical records, and promoting workplace wellness in compliance with UAE regulations. This role is ideal for a proactive healthcare professional who is comfortable working in a fast-paced construction environment and can respond effectively to workplace incidents. Key Responsibilities Provide immediate first aid and emergency medical treatment to employees and visitors on site. Assess injuries and illnesses and determine whether further medical attention or hospitalization is required. Monitor the health and wellbeing of employees and maintain accurate medical records. Administer prescribed medications and basic treatments within the scope of practice. Coordinate emergency response procedures and arrange ambulance services when necessary. Conduct regular inspections of first aid kits and ensure medical supplies are fully stocked. Assist in implementing occupational health and safety programs. Promote health awareness and educate employees on workplace safety and preventive healthcare. Support pre-employment and periodic medical examinations where required. Maintain confidential medical documentation in accordance with company policies and UAE regulations. Work closely with the HSE team to investigate workplace incidents and recommend preventive measures. Ensure compliance with DHA/MOH/DOH regulations and company health and safety policies. Requirements Bachelor's Degree or Diploma in Nursing. Valid DHA, MOH, or DOH Nursing License (or eligibility to obtain one). Minimum 2-3 years of nursing experience, preferably in a construction, industrial, or occupational health environment. Certification in Basic Life Support (BLS) is mandatory. ACLS is an advantage . Strong knowledge of workplace health and safety procedures. Excellent emergency response and first aid skills. Good communication and interpersonal skills. Ability to work independently and remain calm under pressure. Strong documentation and record-keeping skills. Proficient in Microsoft Office applications. Benefits Competitive salary package Employment visa Medical insurance Food, Transport and Accommodation Annual paid leave Career growth opportunities within a leading real estate development and construction company Professional and supportive work environment

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours. This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible. - Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential. - Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution. WE'RE LOOKING FOR - 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products. - Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability. - Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as an SRE, observability engineer, or infrastructure engineer. - Hands-on experience building AI agents, or instrumenting and evaluating them in production. - Contributions to OpenTelemetry or adjacent open-source telemetry projects. If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $183,711 — $229,638.75 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Staff R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. At this level, you’re expected to be a trusted expert beyond your own team — defining technical direction that other teams build on, taking high-level direction and turning it into concrete plans with a high degree of independence, and using sound judgment to decide what deserves your attention. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range and ambiguity rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and decide what’s actually worth pursuing for Fivetran AI’s roadmap — then convince others Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Define technical direction that spans multiple teams within Fivetran AI, ensuring architecture decisions made in one area don’t create problems in another Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Drive the AISQL capability forward: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability across the platform: on-call rotation, incident response, and SRE work to keep the system trustworthy at scale Set the bar for testing and QA practices, and do hands-on QA work yourself when it matters most Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Take high-level direction from product and leadership and independently define and execute the concrete plan to get there Mentor other engineers and raise the technical bar across the Fivetran AI team Contribute to hiring by participating in and helping shape the interview process Skills We’re Looking For 8+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Demonstrated ability to mentor other engineers and influence technical decisions beyond your immediate team Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $196,033 — $245,041.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Hybrid - London, Berlin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Senior Technical Account Manager (TAM) to own the post-sales technical relationship for a portfolio of our largest enterprise customers, taking it over from the Solutions Architect (SA) at deal close. Your focus is continuity: customers renew the annual TAM engagement because their technical outcomes improve each year. This role requires travel to customer offices 4 to 8 times a year. What you'll do Own the post-sales technical relationship and the annual TAM renewal for a portfolio of enterprise accounts, running a weekly check-in, monthly review, quarterly business review (QBR), and annual roadmap workshop for each Lead incident follow-through when an escalation or a pattern of incidents emerges: run the post-mortem, find the architectural root cause, own the remediation roadmap, and respond to priority 1 and 2 escalations within 4 business hours Deliver proactive architectural reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments Scope hands-on engineering work for Forward Deployed Engineers (FDEs) and audits for Professional Services, and track their outcomes into the customer's technical roadmap, without shipping production code yourself Relay customer technical needs to Product, Engineering, and Support, and hold those teams to the commitments you have made to your customers What you need 5+ years in customer-facing technical roles at a platform, infrastructure, or developer tools company, such as technical account management, solutions architecture, developer success engineering, or support engineering Owned customer relationships at the $1M+ annual contract value (ACV) tier, including QBRs, roadmap workshops, and renewals Architected, debugged, and optimized production systems on Next.js and Vercel, including App Router, incremental static regeneration (ISR) and caching, Fluid Compute, and the AI SDK Led technical outcomes across Engineering, Product, and Support without formal authority, and written the incident summaries, post-mortems, and executive readouts that came out of them Bonus if you Carried a TAM portfolio at a hyperscaler, infrastructure platform, or developer tools company, such as AWS, Cloudflare, Datadog, or GitHub Built AI agents with the Vercel AI SDK or Model Context Protocol (MCP) servers Led cloud financial operations (FinOps) or cost-optimization engagements, or ran an annual roadmap workshop or Well-Architected Review for an enterprise customer Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Technical Operations Support (TOS) Analyst HYBRID: Aliso Viejo, CA Contract, 12 months As part of Sony Interactive Entertainment, GDFT is helping lead the cloud gaming revolution, delivering console-quality gaming experiences across televisions, consoles, mobile devices, and beyond. The Technical Operations Support (TOS) team is a critical component of the operational foundation that enables GDFT to support a global cloud gaming platform at scale. The team provides frontline operational support for infrastructure, services, and internal processes that help ensure reliable delivery of world-class streaming experiences to players around the world. As a Technical Operations Support Analyst, you will serve as a key operational partner responsible for handling support requests, maintaining operational processes, documenting procedures, and helping improve the efficiency of day-to-day operations. You will work closely with technical operations, engineering, and global support teams while developing foundational skills in cloud and datacenter infrastructure, operational support, troubleshooting, and process improvement. Key Responsibilities: Operational Support Acknowledge, triage, and resolve support requests by following established Standard Operating Procedures (SOPs). Perform routine operational tasks and maintenance activities while meeting service level agreement (SLA) commitments. Escalate issues appropriately when incidents or requests fall outside established support procedures. Support day-to-day operational activities required to maintain platform stability and service availability. Monitor operational queues and ensure timely resolution of assigned work. Documentation & Process Management Create, update, and maintain SOPs, knowledge base articles, and operational documentation. Ensure documentation follows team standards and remains accurate and up to date. Contribute to process standardization efforts that improve consistency across operational activities. Continuous Improvement Identify recurring issues, repetitive tasks, and operational inefficiencies. Provide feedback and recommendations for automation opportunities. Partner with technical teams to improve workflows, tooling, and operational processes. Contribute ideas that help reduce manual effort and improve team productivity. Collaboration Work closely with team leads, engineers, and global operational teams to support business objectives. Participate in operational reviews, process improvement initiatives, and cross-functional projects. Communicate clearly regarding ticket status, operational risks, and support activities. Required Technical Experience (MUST) 1–3 years of experience in Information Technology, Technical Support, Operations Support, or a related field. Foundational understanding of computer systems, operating systems, networking concepts, and troubleshooting methodologies. Experience working with ticketing systems, service request management, or operational support processes. Ability to follow documented procedures while maintaining attention to detail and accuracy. Communication & Collaboration (MUST) Strong written and verbal communication skills. Strong organizational skills and attention to detail. Ability to collaborate effectively within a team environment. Demonstrated commitment to learning and professional growth. Work Style (MUST) Strong sense of ownership and accountability for assigned work. Ability to manage multiple priorities in a structured environment. Willingness to work flexible schedules, including evenings, weekends, and holidays, as business needs require. Preferred Qualifications (WANT) Experience with Linux operating systems and command-line tools. Experience troubleshooting hardware, software, or infrastructure-related issues. Familiarity with Jira, Confluence, ServiceNow, or similar ticketing and documentation platforms. Exposure to cloud computing platforms such as AWS or Google Cloud. Experience supporting operational environments that require adherence to SLAs. Basic scripting experience using PowerShell, Bash, Python, or similar technologies. Coursework, certifications, or training in Information Technology, Computer Science, Networking, or related disciplines. Familiarity with monitoring, alerting, or observability tools. Experience participating in process improvement or operational efficiency initiatives. Candidate Profile - we are looking for someone who: Takes ownership of problems and follows through to resolution. Demonstrates curiosity and a desire to continuously learn new technologies and operational practices. Approaches work with discipline, consistency, and attention to detail. Communicates clearly and professionally with teammates and stakeholders. Enjoys identifying opportunities to improve processes and reduce repetitive work. Works effectively in a fast-paced operational environment. Maintains a positive, team-oriented attitude while handling competing priorities. Success in This Role Consistently meet operational support and SLA expectations. Maintain accurate and high-quality operational documentation. Develop strong troubleshooting and operational support skills. Identify opportunities to improve operational efficiency. Build foundational knowledge of infrastructure, cloud operations, and large-scale service environments. Become trusted operational partners to engineering and support teams. Why Join Us This role provides a unique opportunity to gain hands-on experience supporting a global cloud gaming platform while developing technical and operational skills that can serve as a foundation for future growth in Technical Operations, Cloud Operations, Infrastructure Engineering, or Site Reliability Engineering. You will work alongside experienced professionals, contribute to critical operational processes, and help support the technology that powers gaming experiences for players around the world. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Singapore Workplace: remote About the Company CertiK leads blockchain security by securing smart contracts and blockchains with cutting-edge Formal Verification technology. Founded by Computer Science professors of Yale University and Columbia University, CertiK has audited and secured over $500B in assets, including many of the world’s top blockchain projects. About This Role Singapore is where the institutional future of digital assets is being built. As Business Development Manager for Singapore, you drive the commercial relationship with the institutions that need it — exchanges and DPT licensees, banks and financial institutions moving into tokenisation,  protocols and Web3 native teams, and the funds and infrastructure providers around them. You will run the full cycle: build the pipeline, get in front of decision-makers, understand their security and compliance problem, and close. You will work alongside a capital markets and policy team and a technical organisation whose auditors, forensics, and on-chain surveillance work sets the benchmark for the industry. About You You are a builder of relationships and a closer of deals, and you are comfortable doing both in a market where the buyer is sophisticated and the sale is technical. You can hold a conversation with a CTO about smart contract risk and, an hour later, hold one with a Chief Compliance Officer about transaction monitoring and licensing obligations — and be taken seriously in both. You are self-directed about pipeline: you find the opportunity rather than waiting for it to be routed to you. Critically, you understand that in this market a regulatory shift is a commercial event, and you know how to move first when one lands. Responsibilities Pipeline generation and prospecting. Build and own the Singapore pipeline through outbound, inbound qualification, referrals, ecosystem relationships, and event presence — identifying and prioritising the accounts that matter across exchanges, financial institutions, VASPs, protocols, and infrastructure providers. Full-cycle deal execution. Run opportunities end to end: discovery, scoping with technical teams, proposal and commercial structuring, negotiation, and close. Solution positioning. Develop the depth to position CertiK’s portfolio credibly — audits and formal verification, penetration testing, on-chain surveillance and AML/compliance tooling, and incident response — and to map them to a specific client’s risk, regulatory, and commercial pressures. Account management and expansion. Own relationships post-sale, drive renewals and expansion, and act as the client’s primary commercial point of contact. Partnerships and  ecosystem. Develop channel and referral relationships with law firms, consultancies, custodians, infrastructure providers, and industry associations that extend CertiK’s reach into the market. Market intelligence and feedback. Track the competitive and pricing landscape, capture what you learn in the field, and feed it back into pricing, product, and go-to-market decisions. Cross-functional coordination. Work with policy, product, engineering, and marketing to build the proposals, materials, and campaigns that win business — and with the regional leadership team on territory strategy and forecasting. Reporting and CRM discipline. Maintain accurate pipeline data, forecasts, and activity records; report against clear quarterly targets. Ad hoc requests Requirements Bachelor’s degree in business, finance, economics, computer science, or a related field. Minimum of 4 years of B2B business development, enterprise sales, or account management experience, with a demonstrable record of meeting or exceeding revenue targets.  Prior experience at a Web3 security, blockchain analytics, RegTech, or cybersecurity vendor is a plus. Solid working knowledge of smart contract security, on-chain analytics, AML/CFT, or virtual asset compliance concepts.  Understanding of the digital asset and blockchain landscape, and of the security and compliance problems institutions in this market face. Established network in the Singapore or wider Southeast Asian digital asset, fintech, or financial services ecosystem. Excellent written and verbal English, and the ability to present with confidence to senior and technical audiences.  Proficiency in another Asian language is a plus. Strong commercial instincts. Highly organized, self-directed, and able to run multiple opportunities and deadlines with limited supervision. Comfortable operating in a fast-paced environment. Existing right to work in Singapore, or eligibility to obtain one.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for an IT Security Engineer to own and strengthen the security of our corporate technology environment. This is a hands-on role spanning identity and access management, endpoint security, SaaS security, Zero Trust, security automation, and incident response. You’ll work closely with Security, IT, Engineering, and business teams to build secure, scalable systems and automate the controls that protect our people, devices, applications, and data.   WHAT YOU’LL DO IDENTITY & ACCESS MANAGEMENT - Own and strengthen identity and access controls across our corporate environment, with a focus on Microsoft Entra ID. - Implement and maintain SSO/SAML, SCIM provisioning, MFA, Conditional Access, and RBAC. - Build and improve automated joiner, mover, and leaver (JML) workflows. - Regularly review permissions, privileged access, and authentication policies to reduce unnecessary access and security risk. - Help establish identity as the foundation of our Zero Trust security model. ENDPOINT SECURITY - Manage and improve endpoint security through Microsoft Intune/MDM, device compliance policies, and endpoint protection tooling. - Deploy and maintain EDR capabilities across the corporate fleet. - Establish and enforce security baselines for employee devices. - Investigate endpoint security events and remediate compromised or non-compliant devices. SAAS & CORPORATE APPLICATION SECURITY - Assess and improve the security posture of corporate SaaS applications. - Partner with application owners to implement appropriate authentication, authorization, provisioning, and data-access controls. - Identify shadow IT, excessive permissions, insecure configurations, and other SaaS-related risks. - Help establish scalable security standards for onboarding and managing new corporate applications. ZERO TRUST & CORPORATE ACCESS - Design and implement Zero Trust principles across identity, endpoints, applications, and corporate access. - Strengthen controls around privileged access, remote access, and access to sensitive systems. - Apply practical security controls that balance strong protection with employee productivity. SECURITY AUTOMATION - Automate repetitive security and IT workflows using scripts, APIs, and integrations. - Build tooling to automate access reviews, provisioning, compliance checks, alert enrichment, remediation, and other security processes. - Use scripting languages such as Python or JavaScript to improve security operations and reduce manual work. - Look for opportunities to turn manual security processes into scalable, reliable systems. DETECTION & INCIDENT RESPONSE - Monitor and investigate security alerts across identity, endpoint, and corporate systems. - Perform initial investigation and triage of suspicious activity and potential security incidents. - Support incident containment, remediation, and post-incident improvements. - Build lightweight detections and alerts for meaningful risks within the corporate environment. WHAT WE’RE LOOKING FOR - Strong hands-on experience with identity and access management, ideally within Microsoft Entra ID. - Experience implementing or managing SSO/SAML, SCIM, MFA, Conditional Access, RBAC, and JML workflows. - Experience with MDM and endpoint security, ideally Microsoft Intune and modern EDR tooling. - Understanding of SaaS and corporate application security. - Experience implementing or operating within a Zero Trust security model. - Ability to automate workflows using scripts and APIs, with experience in a language such as Python or JavaScript. - Working knowledge of security detection, investigation, and incident response. - Strong security judgment — you can distinguish theoretical risk from meaningful business risk and prioritize accordingly. - Comfortable operating independently in a fast-moving startup environment where priorities can change quickly. - Builder mindset: you look for ways to automate, simplify, and improve systems rather than relying on manual processes. NICE TO HAVE - Experience with reverse engineering, CTFs, security competitions, or similar hands-on security challenges. - Strong understanding of networking fundamentals, including VPNs, network segmentation, authentication protocols, and common lateral-movement techniques. - Experience securing rapidly scaling or highly technical organizations. - Experience working closely with engineering or product security teams. - Familiarity with cloud security concepts and modern security monitoring tools. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).

RELOCATION TO UAE CoreConnect, a flagship product by VentureOne, the commercialization arm of the Advanced Technology Research Council, acts as the digital glue within the complex ecosystem of autonomous mobility in logistics. CoreConnect is building the infrastructure layer for autonomous operations in complex ecosystems. We develop a robot orchestration platform that enables logistics and other operators to deploy, manage, and scale fleets of autonomous robots across real-world environments. Our technology sits at the intersection of robotics, operations software, and intelligent automation. Role Overview We are seeking a Senior Software Engineer (Backend) who prioritizes system reliability and product impact. You will be a key contributor to CoreConnect, developing a scalable Hexagonal Backend API service that serves as the primary interface for our commercial ecosystem. We value engineers who operate with a high degree of autonomy, technical pragmatism, and a commitment to operational excellence. We are specifically looking for candidates who demonstrate ownership, pragmatism, and feel comfortable with navigating ambiguity. Key Responsibilities Core Engineering & Architecture: Design, implement, and optimize scalable Kotlin Spring Boot backend services using a Hexagonal architecture for high-performance fleet orchestration. Data & Integration Strategy: Manage complex data layers (Postgres/PostGIS, TimescaleDB) and develop a Unified Abstraction Layer to integrate diverse autonomous vehicle APIs for fleet-agnostic control. Real-time Systems & Optimization: Drive the technical roadmap for real-time data engineering, resolving bottlenecks in high-frequency data ingestion (MQTT/WebSockets) to ensure sub-second latency. Security, Scalability & Observability: Enforce standards for platform security and observability, implementing Multi-tenant Architecture (RLS) and Role-Based Access Control (RBAC). Cross-Functional Collaboration: Partner closely with Product, Engineering Leadership, and DevSecOps to build high-quality solutions that drive measurable business outcomes. Engineering Culture: Mentor engineers, lead rigorous code reviews, introduce process improvements, and foster a culture of operational excellence. Qualifications Experience & Education: Bachelor’s degree or higher in Computer Science or other relevant fields and 5+ years of professional experience with Java or Kotlin and Spring Boot delivering well-tested, complex systems in a SaaS startup environment. Architecture & Data Mastery: Deep proficiency in distributed systems, Hexagonal Architecture, and scalable API design. Expertise in SQL (PostgreSQL), geospatial data (GIS/PostGIS), and time-series data (TimescaleDB). Real-Time & Integrations: Experience architecting low-latency communication (WebSockets, MQTT) and building abstraction layers for third-party vendor APIs. Mindset & Execution: Proven ability to navigate ambiguity, balance architectural purity with commercial objectives (managing technical debt, shipping MVPs), and take full ownership of the code lifecycle and incident management (root-cause analysis and prevention). Security & Quality: A consistent focus on software quality and security best practices with hands-on experience in automated testing (unit and integration test suites), SAST, DAST, and setting up platform observability tooling. Complementary Expertise: Frontend Proficiency: Practical experience building interfaces with React or Next.js and TypeScript. Infrastructure & DevOps: Mastery of cloud environments, specifically AWS and Kubernetes (EKS), along with CI/CD pipelines and Infrastructure as Code (Terraform or Helm). Industry Experience: Direct background in logistics, robotics, or fleet management systems. Communication: Fluency in Business English is a must. What We Offer We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events. Join us to drive innovation and shape the future of technology!

Location: Poland; Slovakia; Slovenia; Georgia; Armenia; Serbia We are looking for a Go Developer to join a team working on regulatory, fiscal, and compliance projects. The role requires a self-sufficient engineer who can understand business requirements, collaborate with analysts and teammates, and deliver stable, production-ready solutions. The customer is a global mobility and urban services platform operating across multiple countries and regions. The platform provides transportation, delivery, and other urban services for a global user base. Responsibilities Review business requirements and validate technical solutions. Contribute to implementation planning. Develop integration services with external providers and public systems. Implement fiscalization and electronic invoicing functionality. Deliver production-ready solutions. Maintain service stability through monitoring, logging, and incident response. Collaborate on regulatory services. Independently deliver integration tasks after onboarding. Requirements Requirements Strong commercial experience with Go, including: Memory management Garbage collection Concurrency Experience building REST APIs. Experience with Kafka for asynchronous messaging. Strong knowledge of MySQL (or another relational database), including: Transactions Indexes Locking mechanisms Experience implementing Redis caching strategies. Experience with Docker and Kubernetes, including Helm. Hands-on experience with CI/CD pipelines (GitLab CI or GitHub Actions). Technology Stack Go REST API Kafka MySQL Redis Docker Kubernetes (Helm) CI/CD