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Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

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Location: New York; 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. ABOUT GTM ENGINEERING: GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal. Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal. We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal. We're looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you'll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation. WHAT YOU'LL DO: - Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM. - Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources. - Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context. - Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution. - Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment. - Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility. - Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy. - Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills. WHAT YOU SHOULD HAVE: - SQL fluency and Python proficiency. - You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same. - Experience building data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex. - Hands-on experience with CRM architecture, integrations, and revenue or marketing operations. - An understanding of how leads, accounts, opportunities, and revenue move through a business; experience with usage-based businesses is a plus. - High attention to detail and a habit of testing, documenting, and monitoring the systems you build.

200 000 – 220 000 $

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. IN THIS ROLE YOU WILL - Design and operate storage systems used across Sentry, including their configuration and performance tuning. - Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. - Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. - Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build. - Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery. - Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams. - Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages. - Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation. YOU’LL LOVE THIS JOB IF YOU - Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day. - Care about a useful, easy-to-use API as much as what happens behind it. - Like working with other engineers to understand their needs and make their day-to-day work easier. - Want to follow your work from design and code through rollout and production for millions of developers. - Want open-source contributions to be at the center of your day job. QUALIFICATIONS - 5+ years of software engineering experience building and operating distributed, stateful systems in production. - Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus. - An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried. - Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust. - Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus. - Good written and spoken English, especially in explaining technical choices and writing documentation. - Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.   The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 to $420,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry’s Foundational Storage team builds and supports the stateful storage systems that all our products rely on: object storage, relational databases, key-value stores, and caches. We help Sentry engineers store and access data consistently, durably, securely, and efficiently as our products and traffic grow. We develop storage services like our open-source Objectstore https://github.com/getsentry/objectstore and build libraries and APIs that make existing storage systems easier to use. In our own services, we design storage protocols that keep data consistent across backends, even through concurrent updates and failures. Our abstractions let other engineering teams use storage without worrying about which cluster or instance holds their data. As a Senior Software Engineer on the team, you’ll work on both the systems and the code that makes them easy to use. You’ll tackle questions of data consistency, availability, performance, and cost-efficiency, and work with product teams to turn their needs into practical solutions. The goal is simple: make the right way to store data the easy and obvious way. IN THIS ROLE YOU WILL - Design and operate storage systems used across Sentry, including their configuration and performance tuning. - Create APIs and abstractions that make storage easy for product teams to use, with best practices for correctness, security, and scale built in. - Solve storage challenges at scale, including consistency under concurrent access, sharding and rebalancing, and routing reads and writes across storage backends as workloads grow. - Work with product engineers to choose storage approaches, plan safe migrations, and help teams adopt the tools you build. - Plan and build with other Platform and Infrastructure teams, including analytical storage and streaming, to deliver a complete, fault-tolerant platform for product teams. Align roadmaps and standards, and design for failures and recovery. - Improve storage performance and cost efficiency by making better use of backends and resources, while keeping the platform simple for product teams. - Write code primarily in Rust and Python, with clear user-facing documentation. Develop advanced testing scenarios, such as production-scale chaos tests covering backend and infrastructure outages. - Own latency and availability SLOs for your services, improve monitoring and incident response, and participate in the team’s on-call rotation. YOU’LL LOVE THIS JOB IF YOU - Enjoy digging into the internals of storage systems and understanding how they behave when traffic grows, requests race, or a dependency has a bad day. - Care about a useful, easy-to-use API as much as what happens behind it. - Like working with other engineers to understand their needs and make their day-to-day work easier. - Want to follow your work from design and code through rollout and production for millions of developers. - Want open-source contributions to be at the center of your day job. QUALIFICATIONS - 5+ years of software engineering experience building and operating distributed, stateful systems in production. - Hands-on experience with object storage, relational databases, and caching systems at production scale. Experience with key-value or wide-column stores is a plus. - An understanding of distributed systems fundamentals, including consistency, concurrency, and what happens when requests fail or need to be retried. - Proficiency in a systems language such as Go, C++, Java, or Rust, and comfort working in Python. We primarily use Rust and Python, and welcome engineers who are new to Rust. - Experience running services on Kubernetes in a cloud environment, including observability, SLOs, and incident response. Familiarity with Terraform is a plus. - Good written and spoken English, especially in explaining technical choices and writing documentation. - Nice to have: experience building shared libraries or internal APIs, migrating data between systems, or improving system performance and cost.   The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $400,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote, Global ABOUT THE ROLE We are seeking a platform engineer to join our Compute team. This team owns the critical systems that power project provisioning, scaling, and the compute that our users rely on every day. You’ll work on the core platform that ensures Supabase can seamlessly scale across multiple regions, handle high-volume workloads, and provide low-latency, highly available compute services. You'll design, build, and operate systems that are both robust and highly automated — enabling us to provision new projects reliably at scale, optimize resource utilization, and deliver a seamless experience to the millions of databases which we manage. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement systems to provision, scale, and manage the multi-region compute workloads powering Supabase projects; - Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization; - Improve automation and observability across the compute stack to ensure high availability and performance; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Collaborate cross-functionally with other teams to help leverage compute as a core platform offering; - Participate in on-call rotations, incident response, and post-incident reviews; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A GOOD FIT IF YOU: - Have strong software engineering skills (Go and Typescript required); - Experience building and operating cloud infrastructure or distributed systems at scale; - Have 5+ years experience with cloud infrastructure (AWS required, additional experience with GCP and Azure is a plus) - particularly compute, networking, and storage services; - Have 3+ years experience working with building custom Kubernetes controllers, and operating large-scale (tens-to-hundreds of thousands of pods) clusters; - Are knowledgable about networking and multi-region infrastructure design; - Are familiar with Postgres; - Have experience with Infrastructure as Code tools (Pulumi highly preferred, Terraform/CDK etc acceptable) - Have experience working with QEMU, KVM, and NAS is a plus; - Have experience with being part of on-call rotations for large production system; 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.

• Ensure the security of the company’s server, network, and cloud infrastructure. • Monitor and analyze information security events to detect attacks, scanning activity, anomalies, and unauthorized access attempts.

6 000 – 8 000 €

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

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Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Зарплата не указана

Location: Korea Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. WHAT YOU’LL DO Customer-Facing Technical Impact - Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies. - Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows. - Travel up to 20–40% to work on-site with customers and partners Agent Design, Build and Production launches - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance. - Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. - Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails. - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Team Mentorship & Organizational Impact - Mentor engineers across distributed teams. - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization. - Contribute to shared frameworks and patterns that enable consistent delivery across customers. REQUIRED SKILLS & EXPERIENCE Technical Foundations - Demonstrated ability to build, ship, and operate production-grade software systems. - Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling. - Strong proficiency in Python and/or JavaScript/TypeScript. Experience and Leadership - Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs. - Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems. ADDITIONAL REQUIREMENTS - Strong written and verbal communication skills. - Fluency in English and Korean language. IT’S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Bengaluru, Karnataka, India, APAC 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 We’re looking for a Staff Technical Writer to write and edit enterprise documentation that empowers our customers to use Fivetran and understand how our data warehouse, database, and data lake products work. You’ll collaborate with engineers, product managers, support engineers, and other technical writers. You join a friendly team of technical writers distributed among our international offices. This is a full-time position based out of our Bangalore 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 Documentation-as-code tools, including Markdown, Git, GitHub, and CI/CD workflows Data platforms such as Snowflake, Databricks, and BigQuery Cloud storage services such as Amazon S3, ADLS, and GCS Collaboration and project management tools such as Jira and Slack What You’ll Do Create and maintain clear, accurate product documentation and release notes that help customers succeed. Review and refine customer-facing content, including error messages and UI text. Use a docs-as-code approach to co-author documentation with engineers, product managers, and contributors across the company. Improve existing documentation by ensuring technical accuracy, clarity, and consistency. Collaborate with a global writing team to define and evolve documentation standards, style, and terminology. Partner with engineers, SMEs, and cross-functional teams to deliver best-in-class technical documentation. Contribute to style guides, templates, and other shared resources that raise the bar for all company content. Act as a writing resource for other teams, helping improve content quality across the organization. Skills We’re Looking For Extensive expertise in data warehouse and data lake documentation: 8+ years of experience documenting data warehouses, databases, data lakes, and cloud applications for a US-centric audience. Deep technical knowledge: Experience with complex data lake and data warehouse technologies, cloud platforms (AWS, Azure, GCP), data pipelines (ETL/ELT), and replication techniques. Scripting, automation, and AI proficiency: Skilled at leveraging scripting, automation, and AI tools to streamline documentation workflows and enhance technical content delivery. Exceptional communication skills : Proven ability to craft clear, concise, and accurate documentation; strong technical editing abilities; impeccable grammar; and consistent application of style guides. Documentation leadership: Expertise in content planning, creation, and review processes, with a track record of implementing best practices that elevate documentation quality. Project management and organizational skills: Experience leading documentation projects, mentoring writers, managing competing priorities, and adapting to change while delivering high-quality results. Collaboration and customer focus: Strong history of working with engineers, writers, and globally distributed teams, translating customer needs into improved documentation that drives customer success. Bonus Skills​ Experience working at technology companies with globally distributed technical writing teams documenting enterprise-grade products or services. Understanding of the nuances of complex documentation lifecycles and experience working in an Agile environment. Experience working in a docs-as-code environment, GitHub, Markdown, CLI, and HTML. Understanding of cloud object storage, metadata catalogs such as AWS Glue and Unity Catalog, and open table formats such as Apache Iceberg and Delta Lake. Experience documenting configuration and deployment workflows for containerization and orchestration platforms such as Docker, Podman, and Kubernetes. # LI-HYBRID #LI-DB1 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.

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

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Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Зарплата не указана

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Зарплата не указана

Develop and maintain backend services in Kotlin / Spring Boot; design and implement REST APIs and business logic;

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Задачи: - Searching for and attracting candidates for job openings using various sources (job search websites, social media, databases, etc.) - Conducting initial interviews and screening candidates - Collaborating with hiring managers to clarify candidate requirements - Supporting and advising candidates throughout all stages of the recruitment process Требования: - Fluency in English and Russian - Work permit for Cyprus - Strong communication skills and a proactive attitude - Ability to plan your work - Sense of responsibility Будет плюсом: - Successful work experience in this role or in an HR department (preferred) Условия: - Workweek: Monday–Friday, 10:00 a.m. to 7:00 p.m. - Office in downtown Limassol - Friendly, professional team - We cover mobile phone expenses - Work at an international company

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We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. 💼 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka.

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— Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement. — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django.

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-Профильный опыт работы 3-5 лет.

до 110 000 ₽