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Responsibilities: — Develop high-quality features and improvements in React and TypeScript, focusing on maintainability and readability. — Own features end-to-end across the UI, BFF, and async jobs, integrating with Java backend services. — Integrate UI with backend services, consuming and shaping their APIs. — Participate in design discussions and contribute to UI architecture, state boundaries, and API contracts. — Build and maintain BFF endpoints using Node.js and Fastify for UI-specific data shaping. — Design async flows for long-running analyses using BullMQ, ensuring retry-safe, idempotent jobs with clear UI status. — Optimize data-heavy reporting views with virtualization, pagination, and backend aggregation. — Use AI-assisted development tools (e.g., Claude CLI / Claude Code) efficiently, applying good judgment. — Evaluate trade-offs considering simplicity, cost, stability, and performance. — Collaborate with the team to break down work, estimate tasks, and deliver incrementally. — Work closely with backend, product, and data teams for smooth feature integration. — Engage actively in code reviews to maintain high-quality standards. — Keep up with industry trends and suggest practical improvements. Qualifications: — 7+ years of hands-on frontend development experience with strong React and TypeScript skills. — Experience owning frontend features end-to-end in production with clear separation of concerns and safe typing across API boundaries. — Solid understanding of frontend performance and scalability including re-render costs, virtualization, pagination, and progressive loading. — Comfortable working across frontend/backend boundaries, integrating with backend services and designing API contracts. — Proficient with AI-assisted development tools, able to decompose complex tasks, supervise workflows, review generated code critically, and ensure correctness, security, testing, and maintainability. — Experience with Vite (build configuration, code-splitting, developer experience) is a plus. — Experience with SQL and NoSQL databases. What we offer: — Referral Program to help grow the team. — Premium IT Equipment such as MacBook Pro or hardware of choice. — Excellent work-life balance with flexible hours and full remote possible. — Competitive compensation and benefits package. — Opportunity to work alongside top experts worldwide contributing to the Java ecosystem.

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Location: Dublin, Dublin, Ireland, EMEA 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support, sales engineers and solution architects to build the future of the Fivetran Data Platform Reliability. 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 Cloud Service Providers(CSPs): AWS, Azure and Google Cloud Kubernetes: Managed Kubernetes services (EKS, AKS and GKE) Continuous Integration tools: github actions, Buildkite Continuous Delivery: ArgoCd Databases: Postgres and all the major Databases Languages: Go, Java Scripts: Typescript, Python, Shell IaC: Terraform and Pulumi RESTful API: FastAPI Cloud networking: Privatelinks in Azure and AWS, Private service connect in GCP and site-to-site VPN tunnels in all 3 major cloud service providers - AWS, Azure and Google Cloud What You’ll Do As a member of the Site  Reliability Engineering team, you will take ownership over the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritise or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For Expertise in managed Kubernetes (EKS, AKS, and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) AI-assisted engineering: Experience using AI tools for code review, automation, incident analysis, documentation, and reducing operational toil. Bonus Skills​ 5+  years of  experience working with SaaS products at scale Experience with databases such as PostgreSQL #LI-IM1 #LI-HYBRID 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: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver. We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization. RESPONSIBILITIES: Team - Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth. - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work. - Foster a culture of ownership, accountability, customer obsession, and continuous improvement. Technical and Product Direction - Drive technical and product decisions through design reviews, code reviews, and architectural discussions. - Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal. - Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users. - Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production. Cross-Functional Leadership - Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators. - Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities. - Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams. REQUIREMENTS: - 10+ years of industry experience, including 3+ years in a leadership role - Track record building high-performance systems at scale - Strong background in cloud infrastructure - Deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) - Nice to have: Experience working with LLM inference in production and familiarity with underlying concepts like engines, kernels, routing, KV cache management and speculative decoding.

Location: New York City Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO MotherDuck is looking for a highly motivated Business Development Representative (BDR) to help drive our growth and introduce companies to the next generation of cloud-based data analytics. This is an opportunity to join our growing BDR team, helping to shape our top of funnel sales strategy and build a strong pipeline of potential customers. As a BDR at MotherDuck, you’ll be the first point of contact for many of our prospective customers, engaging them in meaningful conversations about how our platform can help them duck and cover from data complexity. You will work closely with our Sales and Marketing teams to identify, engage, and qualify leads, ensuring a seamless handoff to our Account Executives. If you thrive in a fast-paced, collaborative environment and love the challenge of building relationships and identifying business opportunities, this role is for you! This role based will be located in our New York City office. KEY RESPONSIBILITIES: - Identify & Qualify Opportunities: Listen actively, ask great questions, and determine if a prospect is a strong fit for MotherDuck’s solutions. - Pipeline Building: Develop and maintain a pipeline of high-quality leads to support our Account Executives. - Product Education: Learn and articulate MotherDuck’s value proposition to prospective customers in a way that resonates with their pain points. - Collaboration: Work closely with Sales, Marketing, and Product teams to refine messaging and improve outreach effectiveness. - Communicate with Clarity: Explain technical concepts in a way that’s easy to understand, ensuring potential customers grasp the value of MotherDuck. - Continuous Improvement: Gather feedback from prospects to help improve our messaging and go-to-market approach. - Adapt & Problem-Solve: Tailor your approach based on different industries, customer pain points, and personalities. - Own the Process: Maintain accurate records in our CRM, follow up with prospects, and continually refine your outreach strategies. - Outbound Prospecting: Conduct targeted outreach via email, phone, and social channels to generate interest and set meetings with potential customers. - Stay Curious & Keep Learning: Develop a deep understanding of data analytics, industry trends, and the challenges our customers face. WHAT YOU BRING - A high motor—you thrive in a fast-paced, dynamic environment and love pushing forward. - Resilience and adaptability—you see challenges as opportunities and can quickly pivot when needed. - Strong communication skills—you know how to engage, listen, and connect with different audiences. - Emotional intelligence—you read the room, handle objections with grace, and build trust naturally. - Intellectual curiosity— You have a natural curiosity for learning about new industries, technologies, and customer pain points, coupled with a willingness to experiment, iterate, and adapt based on feedback to continuously refine your outreach strategies. - A collaborative mindset—you’re a team player who works well across functions and values shared success. - Technical aptitude—you’re excited about data and analytics and eager to learn more about how MotherDuck helps companies. - A hunter mentality—you’re motivated, persistent, and thrive on finding and developing new opportunities WHAT PEOPLE SHOULD BE SAYING IF YOU’RE DOING DUCKING AWESOME - “This BDR is a prospecting machine! They consistently bring in high-quality leads that convert.” - “Their ability to break down technical concepts and spark interest is unmatched.” - “They don’t just send emails—they build relationships and open doors.” - “The pipeline is flowing smoothly, thanks to their proactive outreach and keen qualification skills.” OUR INTERVIEW PROCESS We like to keep things transparent, so here's what to expect if you apply... 1. Discovery call with our recruiting team to get acquainted and make sure we're a mutual fit 2. A conversation with our BDR Lead to learn more about your prospecting approach, communication style, and what excites you about the data space 3. A deeper conversation with our Sales team covering outbound strategy, how you handle objections, and a short role-play exercise 4. A final conversation with our CEO focused on values and vision PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Location: EMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. 👩‍💻 THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3. Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI capabilities. As a Senior Data Engineer focused on AI Platform, you’ll work at the intersection of data engineering, platform engineering, and applied AI. You’ll build the data pipelines, services, integrations, and reusable platform capabilities that power AI use cases across Oyster. You’ll leverage Oyster’s existing AWS and Snowflake data platform to make enterprise data accessible, reliable, secure, and useful for AI, supporting capabilities such as LLMs, RAG, embeddings, vector search, AI agents, tool calling, and AI workflows. This is not a traditional data engineering role focused primarily on analytics pipelines or reporting. You’ll help define and build the data and platform foundations that let AI systems move from experimentation to reliable production, working closely with Engineering, Product, IT, and other teams across Oyster. Key Responsibilities - Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows. - Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management. - Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns. - Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities. - Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems. - Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost. - Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable. - Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements. - Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster. Core Requirements - 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems. - Strong Python and SQL skills. - Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access. - Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar. - Hands-on experience building or supporting production systems using LLMs / generative AI. - Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems. - Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions. - Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability. - Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data. - Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions. Bonus - Experience with AWS Bedrock or other managed foundation-model platforms. - Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data. - Experience with LLM evaluation, observability, monitoring, or AI quality. - Experience with LangChain, LangGraph, or similar frameworks. - Experience with vector databases or search technologies. - Experience implementing AI security, governance, or responsible AI practices. - Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams. - Experience working across data engineering and AI/ML platform environments. YOU'LL ALSO NEED - A reliable home internet connection (or be able to get one). - Fluent English language skills. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: Europe Workplace: Remote As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured. You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems. WHAT YOU'LL DO HERE - Build features end to end, from a design you write within the team's existing approach through production rollout. - Write database migrations that follow the team's patterns for schema compatibility and safe upgrades. - Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing. - Build features that keep enterprise deployments secure, following the team's security practices. - Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd. - Help resolve backend issues surfaced by Coder operators and administrators. - Document the features you build so a reviewer and the next engineer do not have to decode them. - Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Professional experience writing and shipping Go. - Working understanding of Go's concurrency model, including goroutines, channels, and the sync package. - Comfortable with SQL, schema changes, and writing migrations. - Strong verbal and written communication skills, including surfacing blockers and uncertainty early. - Solid debugging skills and the persistence to work a problem, and to escalate early when stuck. - A self-motivated, analytical engineer who enjoys difficult technical challenges. BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience investigating performance under real-world load, including debugging race conditions. - Experience with observability, audit, or security features in an enterprise product. - Experience with major cloud providers, Kubernetes, and container orchestration. - Experience building or operating distributed systems at a meaningful scale. - Curiosity about the latest developer tooling. OUR TECH STACK - Backend: Go, Postgres, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Talent at Modal Modal is growing fast, and the programs that bring people in and set them up to succeed are still being built. You'll join the Talent team as one of its first hires focused purely on programs; working closely with recruiting and leadership to build the events, internship, and campus presence that shape how the best people discover and experience Modal for the first time. The Role As Talent Programs Manager, you will own Modal's talent events, our intern program, and our presence at career fairs, end-to-end. This is a build-from-the-ground-up role for someone who wants full ownership rather than an existing playbook to execute. You'll work directly with recruiters, hiring managers, and marketing to make sure every program ladders up to real hiring outcomes, and you'll be the person who makes candidates' and interns' first experience of Modal a great one. What You'll Do: - Own Modal's talent events strategy; meetups, recruiting mixers, tech talks, and community events, from concept through post-event follow-up - Design and run the intern program end to end: recruiting timeline, project scoping with hiring managers, mentorship matching, and conversion - Represent Modal at career fairs and campus events, and recruit and prep employee brand ambassadors to join you - Build and maintain relationships with university programs, bootcamps, and community organizations that feed our pipeline - Manage program budgets and vendor relationships; venues, swag, catering, event platforms - Track and report on program metrics: event pipeline conversion, intern conversion rate, cost per hire from programs - Move quickly without sacrificing the candidate or intern experience Requirements: - 3+ years running recruiting/talent programs, events, or university relations, with a track record of owning a program end-to-end including budget and vendors - High influence, low ego: you build relationships easily across recruiting, hiring managers, and marketing, and share credit freely - Strong project management skills; comfortable juggling multiple concurrent events and timelines without dropping details - Excellent written and verbal communication; comfortable representing Modal externally - Someone who takes ownership seriously: you drive programs to completion and build structures that let them scale - Based in or willing to relocate to NYC, in-office

Задачи: — Проектировать и разрабатывать сквозные конвейеры данных с использованием Azure Data Factory, SQL и других сервисов Azure. — Реализовывать сложные модели данных, меры DAX и вычисляемые столбцы для поддержки отчетности. — Управлять и оптимизировать ETL-процессы, обеспечивая качество данных, согласованность и высокую производительность. — Проектировать и поддерживать хранилища данных и размерные модели (например, схемы звезды/снежинки). — Сотрудничать с аналитиками, разработчиками и заинтересованными сторонами для преобразования бизнес-требований в технические решения. — Интегрировать данные из различных источников, включая SQL-базы данных, облачное хранилище, API и плоские файлы. — Обеспечивать управление данными, точность и целостность в BI-экосистеме. Требования: — Опыт работы в роли Data Engineer не менее 5 лет. — Продвинутые знания SQL: сложные запросы, оптимизация производительности, хранимые процедуры. — Глубокое понимание технологий Azure: Azure SQL Database, Data Factory и др. — Опыт разработки ETL, интеграции данных и оркестрации конвейеров. — Знание принципов моделирования данных и архитектур хранилищ данных. — Знание принципов управления данными, управления качеством данных и лучших практик безопасности данных. — Расположение в часовом поясе CET (+/- 3 часа). Желательно: — Знакомство с Azure Synapse Analytics, Data Lake и Azure DevOps. — Эксперт в разработке Power BI, включая Power Query, DAX и Power BI Service. — Опыт работы с Python или другими скриптовыми языками для обработки данных. — Опыт работы с Git или другими системами контроля версий для совместной работы и практик CI/CD. — Наличие сертификатов Microsoft (Power BI, Azure Data Engineer или SQL Server). Условия: — Своевременные ежемесячные выплаты с гибкими вариантами вывода средств. — Предсказуемые часы работы: стабильные 8-часовые рабочие дни с клиентами. — До 24 дней гибких выходных в год без потери оплаты для полноценных позиций через Proxify. — Долгосрочные удалённые позиции в ведущих компаниях. — Персонально подобранные вакансии без типичных рекрутинговых барьеров. — Единый процесс заключения контрактов для множества возможностей без дополнительных оценок. — Постоянная оплата каждый месяц для позиций, полученных через Proxify.

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Location: Hyderabad, India Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Ability to build libraries and frameworks of reusable efficient code. — Competence in designing and implementing low-latency, stable and performing applications. — Capacity to effectively collaborate with other team members and stakeholders remotely. — Ability to implement data protection systems. — Competence in data storage solutions. Требования: — 5+ years of experience building products with Python and Django. — High proficiency in SQL with experience using databases like PostgreSQL. — Experience scaling cloud infrastructures with Docker or Kubernetes is a plus. — Experience managing cloud infrastructures, specifically AWS or GCP. — You follow the best practices and conventions. — Relevant experience in CI/CD and related tools. — Ability to work with minimal supervision. — Intermediate-advanced English level. — You can communicate well with both technical and non-technical clients. — Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones. Условия: — Get paid, not played: on-time monthly payments with flexible withdrawal options. — Predictable project hours: consistent 8-hour working days with clients. — Flex days: up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. — Career-accelerating positions at cutting-edge companies. — Hand-picked opportunities just for you. — One seamless process, multiple opportunities. — Compensation: same pay every month with positions landed through Proxify.

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We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we are looking for: — 5+ years experience as a Fullstack Developer. — Backend experience with Node.js and Microservices architecture. — Database experience with SQL and MongoDB. — Intermediate-advanced English. Nice-to-have: — Located in CET timezone (+/- 3 hours). — Database Architecture knowledge. Responsibilities: — Ability to build libraries and frameworks of reusable efficient code. — Competence in designing and implementing low-latency, stable and performing applications. — Capacity to effectively collaborate with other team members and stakeholders remotely. — Ability to implement data protection systems. — Competence in data storage solutions. What we offer: — On-time monthly payments with flexible withdrawal options. — Consistent 8-hour working days with clients. — Up to 24 flex days off per year without losing pay for full-time positions. — Exclusive long-term remote positions at cutting-edge companies. — Personally matched positions avoiding typical recruitment roadblocks. — One-time contracting process for multiple opportunities. — Consistent monthly compensation for positions landed through Proxify.

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Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

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Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments. Requirements: — 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS — Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python — Experience with REST API, database management, and web development technologies — Experience delivering technical workshops (training, knowledge transfer, implementation, code review) — Lifelong learning and growth mindset — Ability to explain complex technical concepts to broad audiences — Proficiency in communicating technical issues to technical and non-technical audiences via phone and email — Excellent time management, task prioritization, and situational urgency evaluation — Occasional travel to customer locations may be required Nice to have: — Experience implementing or optimizing search & discovery experiences — Experience designing and developing generative AI and agentic applications — Experience in high-growth SaaS environments — Familiarity with iOS & Android platforms — Experience supporting open-source projects and GitHub communities — Experience with Shopify, Magento, and Salesforce Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.

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Location: Toronto, Ontario, Canada 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 is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our Oracle data pipeline services. This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use • Java • Oracle • AWS, GCP, Azure • Bazel, Docker, Kubernetes, Github What You’ll Do • Write and deliver code reliably, along with automated tests (unit and integration) • Optimize code to make it more performant • Break down project work into tasks with estimates • Give and receive feedback through code reviews • Collaborate daily with team members to develop new features and improvements while minimizing technical debt • Resolve customer issues in collaboration with customer support • Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring • Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations Skills We’re Looking For • Expertise in Java development • Experience developing reliable software with high-volume data management under strict SLAs • Experience working with popular cloud platforms (e.g. AWS, GCP, Azure) • Experience using AI coding agents for development • Knowledge of popular databases (e.g. Oracle, MySQL) • Knowledge of and appreciation for clean code practices • Ability to troubleshoot problematic code and identify root cause(s) Optional Bonus Skills • Experience working with Oracle change data capture • Experience developing data integration tools (ETL or ELT) • Experience identifying and optimizing performance bottlenecks in distributed systems This role represents new headcount added to the team to support continued growth and expansion of capabilities. #LI-HYBRID #LI-VA1 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. Ontario Pay Range $113,702 — $136,448 CAD 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: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking a platform engineer to join our Edge & Networking squad. This team owns everything that happens at the network perimeter: API gateway, routing, load balancing, DNS, and secure global traffic distribution. You'll design, build, and operate systems that are both robust and highly automated — enabling us to to scale reliably while maintaining low latency and high availability across our global infrastructure. You will work closely with other infrastructure and product teams to ensure seamless integration, observability, and performance of our edge services. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement Supabase’s global edge router platform; - Build programmable, API-driven routing logic to dynamically steer customer traffic; - Work with DNS, WAF, IP networking, TLS termination, CDN integrations, and global load balancing; - Implement advanced observability: relevant metric and log capturing, latency measurements, traffic shaping, routing health, and failure mitigation. - Optimize routing performance to minimize latency and improve reliability across cloud regions. - Collaborate cross-functionally with other teams to integrate networking solutions into the entire Supabase stack; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Design CI/CD systems to speed up deployments with proper change and release management processes; - Participate in on-call rotations, incident response, and post-incident reviews for edge-related issues; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A FIT IF YOU HAVE: - 5+ years experience in SRE/DevOps/Cloud Infrastructure; - 4+ years experience building and operating high-scale networking or edge infrastructure; - Strong experience with HTTP, TCP/IP, TLS certificate management, CDN internals, load balancing, and global routing; - Proficiency with traffic proxies / routers (e.g., Envoy, NGINX, HAProxy, Traefik, or building your own); - Experience designing systems for high availability, failover, and real-time observability; - Strong software engineering skills (Go); - Strong debugging and troubleshooting skills across distributed systems; - Knowledge of IPv6, BGP, Anycast, or advanced routing protocols; - Experience in managing large deployments on AWS, GCP, Azure, or similar; - Comfortable with cloud networking primitives (AWS, GCP, Azure, or similar); - Experience with Infrastructure as Code tools (Pulumi preferred, Terraform/CDK etc also acceptable); - Experience with being part of on-call rotations for large production systems. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

About the company We are an international fintech company developing modern payment solutions for businesses worldwide. What you’ll do: • Collect, validate, structure, and maintain business data • Work with payment provider tariffs, clients, payment channels, terminals, and other operational data • Ensure data is accurate, up-to-date, and correctly reflected in internal systems • Work with Excel and databases on a daily basis • Perform basic SQL queries and prepare data exports for Finance and other teams • Support the Head of Analytics with regular data and reporting tasks • Collaborate with Finance, PSP, Sales, Product, and other internal teams • Potentially contribute to internal and product documentation What we’re looking for: • Junior / Junior+ level • Strong Excel skills • Basic knowledge of SQL and databases • High attention to detail and accuracy • Structured and analytical thinking • Ability to work with routine and moderately large volumes of data • Responsible, organized, and comfortable working with different systems • Experience in FinTech / Payments / Banking is a plus, but not required • Power BI is a plus, but not a must-have Location: Cyprus — must-have Working model: Office-based You’ll be joining a small Analytics team with direct exposure to the Head of Analytics and the opportunity to gradually grow into more advanced BI, reporting, and analytics tasks.

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Ищем сильного Full-Stack разработчика с хорошим пониманием backend/frontend-разработки, баз данных, сетевого взаимодействия и архитектуры высоконагруженных систем. Основной стек Backend: Node.js, Express, Sequelize Frontend: React, Vite, Tailwind CSS, Zustand, Axios Databases: MySQL, PostgreSQL Real-time: WebSocket, Socket.IO, Centrifugo Базы данных — Уверенная работа с MySQL / PostgreSQL — Транзакции, блокировки (locks), конкурентный доступ — Построение и оптимизация сложных SQL-запросов — Понимание race conditions и проблем конкурентности Infrastructure / DevOps — Docker — Настройка Nginx — Redis, RabbitMQ и очереди задач — Easticsearch + Kibana — Prometheus + Grafana — Понимание CDN — Понимание принципов защиты от DDoS на уровнях L3/L7 — Понимание работы proxy / reverse proxy Frontend — React — Vite — Понимание нативной конфигурации Webpack — Tailwind CSS — Zustand — Axios — Базовое знание PixiJS — Базовое понимание SEO API / Integrations — Умение разбираться и работать с недокументированными API — OAuth и основные принципы авторизации — Telegram Bot API — Опыт/понимание работы с TDLib AI-инструменты — Уверенная работа с Claude и ChatGPT — Использование AI-инструментов в ежедневной разработке: анализ и написание кода, рефакторинг, отладка и поиск решений — Умение грамотно ставить технические задачи нейросетям и проверять результат Security — Понимание SQL Injection и способов защиты — Проверка подмены типов и некорректных входных данных — Race conditions — Базовое понимание криптографии: RSA, SHA и хеширование — Понимание обфускации — Понимание browser/device fingerprinting Architecture — Умение проектировать архитектуру высоконагруженных систем — Понимание масштабирования, отказоустойчивости и конкурентной обработки данных — Понимание взаимодействия между сервисами, очередями, БД, кешем и real-time компонентами Будет плюсом — Базовое понимание теории вероятностей — Понимание принципов работы blockchain и основных сетей: Bitcoin, TON, Ethereum/ERC, TRON — Опыт работы с нестандартными API и интеграциями

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About KIRA Our mission is to make money smart, reliable and within reach for everyone. In 2019, we built the first mobile-first insurance platform accessible online by millions in Southeast Asia. Today, we are expanding to help people in Asia with spending, saving, investing, exchanging, travelling, and more, aiming to build tools for financial self-reliance using AI. The Role KIRA is building an AI Finance Superapp for Southeast Asia covering payments, remittance, insurance, wealth, and trading. These products handle real money, requiring reliability, regulatory compliance, and integration with third-party financial rails. The Technical Product Lead owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery, and launch. AI is used where it genuinely improves outcomes, balanced with deterministic systems for reliability, auditability, and trust. What You'll Own — Own a product vertical end-to-end including strategy, metrics, roadmap, priorities, and delivery. — Shape technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security, and scalability. — Drive trade-offs across correctness, speed, cost, reliability, regulatory requirements, and user experience. — Build regulatory requirements into the product including KYC, transaction monitoring, limits, privacy, and licensing. — Apply AI with clear evaluation, safeguards, human oversight, and failure handling. — Ship products managing external dependencies like regulatory approvals, financial rails, and third-party partners. — Align Engineering, Design, Compliance, Operations, Treasury, and Finance around product decisions and launch requirements. What We're Looking For — 5+ years of product management experience owning complex technical products from strategy through production. — Strong technical foundation in system architecture, APIs, databases, workflows, failure modes, and distributed systems. — Experience working closely with engineers, able to review, challenge, and contribute to technical designs. — Experience in payments, banking, remittance, insurance, trading, or other regulated, high-consequence product domains. — Strong product judgment and ability to make difficult trade-offs under technical, regulatory, and operational constraints. — Experience building with LLMs or AI products, including evaluation, reliability, and understanding when AI should not be used. Nice to Have — Engineering or highly technical product background. — Experience building zero-to-one fintech or consumer products. — Experience defining evaluation frameworks for ML or LLM-powered products. Outcome — Clear vertical strategy and legible roadmap. — Ships fast and clears launch blockers. — Money is correct and users are never misled about their funds. — AI features are valuable, predictable, and trusted. — Trade-offs are deliberate and defensible. — Alignment across engineering, design, compliance, and operations with minimal friction. Location This is a remote role hiring globally, requiring effective collaboration across multiple countries and time zones. Language English is the main working language; strong English communication is required. Interview Process — Online assessment or practical task. — Technical interview. — CEO / final round. The process aims to complete within 1 week from start for strong candidates.