Airbyte

Scale cloud data replication and job lifecycle systems while automating platform operations and developing AI-powered internal tooling. | 7+ years backend/distributed systems experience with JVM/Kotlin and Kubernetes expertise required. | Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you. The Role: You'll be a Software Engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week across multiple regions and clouds. Your focus: the Control and Data Plane systems that handle configuration, job lifecycle, and load scaling, plus Destinations, the strategic integrations Airbyte writes to. You'll occasionally go deep into infrastructure when the problem demands it. We expect engineers here to actively use AI as a force multiplier - agentic tools to automate toil, augment incident response, and build smarter internal tooling. Newer to this? We’ll work with you to build fluency fast. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here. What You’ll Do: Improve and scale cloud data replication and job lifecycle systems as Airbyte Cloud grows. Automate platform operations across OSS, Enterprise, and Cloud: deployment validation, release qualification, environment testing. Build high-leverage internal tooling that helps the team ship connector and CDK changes faster. Develop AI-powered tooling for connector generation and incident response. Improve observability and debugging tools for both Airbyte engineers and customers. Collaborate across platform and cloud infrastructure on cross-cutting technical decisions. Mentor engineers through design reviews, pairing and technical feedback. What You’ll Need: 7+ years of engineering experience (backend, platform, or distributed systems) with strong proficiency in JVM/Kotlin. Hands-on experience building/operating large scale distributed systems. Familiarity with orchestration frameworks (e.g. Temporal-style workflows). Experience running services using Kubernetes using Helm on major cloud providers. Systems-level thinking with an emphasis on performance, reliability, cost, and scalability. Comfortable with ambiguity, moving fast, and owning problems end-to-end. Nice To Have: Experience with open-source platforms, especially in data integration or infrastructure tooling. Familiarity with Airbyte, CDKs, or connector-based architectures. Background in control plane / data plane architectures or internal developer platforms. Experience with AI/agent tooling frameworks (LangChain, Pydantic AI, or similar). Location: Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: Flexible PTO with a culture that encourages at least 25 days off annually 16 weeks fully paid parental leave for all parents Comprehensive medical, dental, and vision coverage for employees and dependents 401(k) retirement plan Professional development budget, conference sponsorship, and book reimbursement Commuter benefits and monthly internet reimbursement Breakfast and lunch in our San Francisco office A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.

Design and build AI-powered database integration systems with on-call responsibilities. | 7+ years experience with relational databases, JVM languages, distributed systems, and LLM integration. | Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you. The Role: At Airbyte, we're building the future of integration engineering. Our team owns the platform that powers hundreds of database and application connectors—but we don't believe scaling integrations should require scaling engineering effort. Instead, we're building an AI-powered Integration Factory that automates the lifecycle of our connectors: generating code, managing dependency updates, diagnosing production issues, proposing fixes, and continuously improving reliability. As a Senior Software Engineer on this team, you'll sit at the intersection of databases, distributed systems, AI, and developer productivity. You'll help build both the connectors themselves and the intelligent systems that create, maintain, and operate them. This is a role for engineers who love databases, enjoy building high-leverage tooling, and are excited to partner with AI rather than compete with it. You'll spend as much time improving the engineering system as you do improving the software it produces. You'll also participate in our on-call rotation, helping investigate production issues and evolving the automation that prevents similar incidents from happening again. What You’ll Do: Build and evolve Airbyte's AI-powered Integration Factory. Design intelligent systems that generate, validate, repair, and maintain connectors automatically. Develop shared tooling, frameworks, GitHub Actions, scheduled workflows, and internal developer platforms used across hundreds of integrations. Build highly reliable database connectors with deep support for database-specific capabilities including Change Data Capture (CDC), replication logs, query optimization, and schema evolution. Improve connector reliability by building systems that automatically detect, diagnose, and remediate production issues. Build infrastructure that manages dependency updates, compatibility testing, release automation, and connector health. Contribute to Airbyte's growing AI Skills repository and help establish patterns for AI-assisted software development. Drive step-function improvements in engineering velocity through automation and reusable tooling. Participate in an on-call rotation, responding to production issues while continually improving the systems that reduce operational burden. Collaborate across engineering to improve internal developer experience and platform capabilities. Mentor engineers and raise the engineering bar through thoughtful design reviews, documentation, and technical leadership. What You’ll Need: 7+ years of software engineering experience building production systems. Strong experience with relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Bigquery, Databricks, S3 or similar. Deep understanding of SQL, query optimization, and database internals. Demonstrated experience with AI-assisted software development, including using LLMs in the engineering workflow, and creation of AI system components such as embeddings, skills, tools, evals, etc. Experience building or operating distributed systems in production. Proficiency in Java, Kotlin (or another JVM language) and comfort working across multiple programming languages. Experience building developer tooling, automation, CI/CD pipelines, or platform infrastructure. Strong debugging skills with the ability to investigate complex production issues. Curiosity about building systems that automate engineering work rather than simply performing it manually. Excellent written communication and documentation skills. Ability to influence technical direction across teams without formal authority. Willingness to participate in an on-call rotation. Nice To Have: Experience with Change Data Capture (CDC). Familiarity with GitHub Actions or large-scale CI/CD automation. Experience building AI agents, LLM workflows, or prompt engineering systems. Knowledge of data integration, ETL/ELT, or data movement platforms. Experience maintaining open source projects or developer platforms. Contributions to reusable internal tooling or engineering productivity initiatives. Location: Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: Flexible PTO with a culture that encourages at least 25 days off annually 16 weeks fully paid parental leave for all parents Comprehensive medical, dental, and vision coverage for employees and dependents 401(k) retirement plan Professional development budget, conference sponsorship, and book reimbursement Commuter benefits and monthly internet reimbursement Breakfast and lunch in our San Francisco office A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.

Build and maintain fullstack platform products and user-facing features while driving operational excellence and mentoring engineers. | Over 5 years experience with production fullstack applications, React, TypeScript, distributed systems, SaaS product shipping, and automation ownership. | Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you. The Role: Every great product is built on a great platform. At Airbyte, the Platform team builds the systems that power every product we ship, including Airbyte Cloud, Airbyte Flex, and Airbyte Agents. We create the infrastructure, internal tooling, developer platforms, and user-facing product surfaces that allow engineers to build quickly, deploy safely, and operate reliably at scale. Our work spans cloud infrastructure, deployment automation, observability, engineering productivity, and the product experiences that our customers and engineers rely on every day. As a Senior Fullstack Engineer on Platform, you'll work across the full stack to build both the internal tools that accelerate engineering and the user-facing features that customers interact with directly. You'll move fluidly between building an internal deployment dashboard and shipping a product feature in Airbyte Cloud. This role is ideal for engineers who care about craft across the entire stack, whether the user is an internal engineer or an external customer, and who believe great platform work makes everything around it better. What You’ll Do: Build Internal Platform Products Design and build applications that power Airbyte's engineering platform and product surfaces. Develop internal dashboards for deployments, infrastructure health, connector operations, and platform performance. Build and improve user-facing features in Airbyte Cloud and Flex, working closely with product and design. Create self-service tools that enable engineers to provision infrastructure, manage services, and troubleshoot production systems. Build Across the Stack Build modern React and TypeScript applications backed by scalable backend services. Design APIs and services that support both internal engineering workflows and customer-facing product features. Collaborate with Platform Engineers, SREs, Product Engineering, Product Managers, and Designers to ship high-quality software. Improve the usability and reliability of the systems that power Airbyte's products, for both internal and external users. Improve Developer Experience Build tooling that automates repetitive engineering work and reduces friction across the org. Improve release workflows, deployment visibility, and operational dashboards. Contribute to the quality of user-facing product surfaces: performance, accessibility, and reliability. Help establish engineering standards and reusable platform components. Drive Operational Excellence Build interfaces that improve observability, incident response, and production operations. Create tools that help engineers and customers understand system health, deployment status, and service reliability. Improve visibility into platform performance through dashboards, metrics, and reporting. Continuously identify opportunities to reduce operational toil through automation. Technical Leadership Mentor engineers through design reviews, architecture discussions, and technical leadership. Raise the quality bar for frontend architecture, testing, accessibility, and maintainability. Contribute to platform-wide engineering standards and best practices. Help shape the future of Airbyte's platform and product engineering. What You’ll Need: 5+ years of experience building production fullstack applications. Deep expertise with React and TypeScript. Strong backend engineering experience building APIs and distributed systems. Experience shipping user-facing SaaS products alongside internal tools, developer platforms, or operational dashboards. Experience working with product managers and designers to ship customer-facing features. Familiarity with cloud infrastructure and modern deployment workflows. Strong product instincts and customer empathy, whether your user is an engineer or an external customer. Excellent written and verbal communication skills. A bias toward ownership, automation, and shipping. Nice To Have: Experience with Kubernetes, Docker, Terraform, or cloud infrastructure. Experience with GitHub Actions, CI/CD pipelines, or developer productivity tooling. Familiarity with observability platforms such as Grafana, Datadog, or Prometheus. Experience with Java or Kotlin. Experience with distributed systems and cloud-native architectures. Experience building internal engineering tools or developer platforms. Familiarity with data infrastructure or large-scale SaaS platforms. What Success Looks Like: Success means the software you build makes both engineers and customers more effective. Engineers deploy with confidence. Infrastructure is easier to understand. Production issues are easier to diagnose. Operational workflows become self-service. Development becomes faster, safer, and more reliable. You'll build software that spans the full spectrum, from internal platforms that multiply engineering velocity to product features that customers use every day. Why This Role Matters: Platform Engineering is the foundation beneath Airbyte Cloud, Airbyte Flex, and Airbyte Agents. Our mission is to build the infrastructure, tooling, and developer experience that allows every engineering team to deliver reliable software at scale. When Platform succeeds, engineers move faster and customers get a better product. You'll help build the systems that let Airbyte focus on what matters most: building the future of data movement and AI. Location: Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: Flexible PTO with a culture that encourages at least 25 days off annually 16 weeks fully paid parental leave for all parents Comprehensive medical, dental, and vision coverage for employees and dependents 401(k) retirement plan Professional development budget, conference sponsorship, and book reimbursement Commuter benefits and monthly internet reimbursement Breakfast and lunch in our San Francisco office A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.

Design and implement AI runtime orchestration layers and backend systems for enterprise AI applications. | 7+ years building production distributed backend systems with AI/LLM application experience. | Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you. The Role: Airbyte is building the runtime that powers trustworthy AI agents. We believe the future isn't simply giving LLMs access to APIs, it's building the infrastructure that allows agents to reason over enterprise context, retrieve evidence, invoke actions safely, and explain every decision they make. We're building the AI Runtime that sits between language models and enterprise systems. Our runtime resolves entities across hundreds of business systems, assembles the right context, chooses the appropriate connectors and skills, validates evidence, enforces permissions, executes actions safely, and returns responses users can trust. The interface is becoming dramatically simpler: "Investigate this customer and tell me what changed." Behind that simple request is an intelligent runtime responsible for orchestration, routing, retrieval, evaluation, evidence generation, permissions, and action policies. We're early. The architecture is taking shape but there's enormous room to define how this works. You'll help build both the runtime infrastructure and the user-facing experiences that make it real. What You’ll Do: Build the AI Runtime Design and implement the orchestration layer that turns natural-language intent into reliable execution. Build systems for entity resolution, context assembly, connector orchestration, and evidence retrieval. Develop reusable Skills that encapsulate business workflows and domain expertise. Build routing systems that intelligently coordinate connectors, tools, deterministic logic, and multiple language models. Build Products Users Trust Own features end-to-end, from runtime capability to user-facing experience. Develop evidence-backed reasoning with citations and traceability that users can actually see and verify. Build evaluation frameworks that continuously improve quality. Implement permission models, freshness validation, and action policies that work transparently for end users. Ship and Iterate Build prototypes, validate ideas, and rapidly iterate with customers. Write high-leverage code that enables entire product areas. Collaborate closely with Product, Design, Sales Engineering, and Customer Success to turn ambitious ideas into production systems. Experiment with new agent architectures while maintaining production-grade reliability. What You’ll Need: 7+ years of software engineering experience building production systems. Deep understanding of distributed systems and backend architecture. Experience building AI applications using LLMs, agents, RAG, MCP, or modern AI frameworks. Strong software engineering fundamentals including APIs, concurrency, testing, and system design. Experience building developer platforms, orchestration systems, or workflow engines. Ability to rapidly prototype while maintaining production quality. Strong product instincts and comfort operating in ambiguous environments. Exceptional written communication skills. A bias toward ownership and shipping. Nice To Have: Experience building AI agents or agent frameworks, including evaluation systems. Familiarity with orchestration frameworks (LangGraph, Temporal, MCP, or similar). Experience with retrieval systems, vector search, or knowledge graphs. Experience building developer tools or platform infrastructure. Experience with data infrastructure including Kafka, Iceberg, Postgres, Spark, or modern data warehouses. What Success Looks Like: Success isn't measured by the sophistication of the prompts. It's measured by whether the runtime becomes more trustworthy every week. You'll build systems that: Automatically assemble the right context and choose the correct connectors and Skills. Produce evidence-backed answers with citations. Enforce permissions and freshness guarantees. Learn from failures through replay and evaluation. Allow users to ask once and receive a trusted answer. As our runtime evolves, users should think less about tools and more about outcomes. The runtime should handle the rest. Why This Role Matters: Every company will soon have AI agents. Most will struggle with trust. Agents need more than models: they need context, evidence, permissions, orchestration, and reliable execution. Airbyte is building that runtime. If we succeed, every AI agent built on Airbyte will inherit those capabilities automatically, allowing developers to focus on solving business problems instead of rebuilding infrastructure. Location: Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: Flexible PTO with a culture that encourages at least 25 days off annually 16 weeks fully paid parental leave for all parents Comprehensive medical, dental, and vision coverage for employees and dependents 401(k) retirement plan Professional development budget, conference sponsorship, and book reimbursement Commuter benefits and monthly internet reimbursement Breakfast and lunch in our San Francisco office A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.

Build and evolve backend Python systems and AI-driven tooling for data integrations and operational resilience. | 5+ years Python backend experience with AI/LLM API usage and leadership in technical initiatives. | Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them. We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, "the last ten years were all about structured data. The future is all about context." We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data. Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents. Engineering Hiring Sprint: We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly. Interview process: Apply Technical Take-Home (Java or Python) Hiring Manager Interview In-Person Onsite (the week of July 20) Hiring decision by the end of the week We're hiring across multiple engineering teams, including: ⚙️ Platform Engineers 🗄️ Database Engineers ☁️ Site Reliability Engineers 🔌 Extensibility API Engineers 🤖 AI Agents Engineers 👤 Engineering Managers If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you. The Role: At Airbyte, connectors are the product. Every sync, every AI workflow, and every customer use case depends on our ability to reliably integrate with APIs, databases, filesystems, and SaaS platforms at massive scale. We’re looking for an Integrations Engineer to help build the future of AI-assisted integrations at Airbyte. This role spans both Airbyte Data Replication and Airbyte Agents, our AI-native platform that gives agents reliable, real-time access to business data through managed connectors, secure credential handling, a searchable Context Store, and agent-facing interfaces including APIs, MCP, SDKs, CLI tooling, and the web application. You’ll work primarily in Python across our CDKs, Connector Builder ecosystem, automation frameworks, rollout systems, and AI-driven operational tooling. This is a highly autonomous role for an engineer who thrives in ambiguous environments, exercises strong technical judgment, and wants to shape how AI changes software development and operational reliability. You’ll help drive Airbyte toward a future where connectors increasingly maintain themselves through intelligent automation, adaptive rollouts, and AI-assisted remediation. What You’ll Do: Build and evolve the Python systems that power integrations across both Airbyte Data Replication and Airbyte Agents. Work on integrations that power both traditional data movement workflows and AI agent use cases, including searchable context, action execution, and real-time business data access. Build systems that use AI to detect, diagnose, and remediate connector failures with minimal human intervention. Design tooling and abstractions that enable Airbyte engineers to build, roll out, and monitor integrations faster and more reliably. Drive initiatives focused on self-healing infrastructure, intelligent retries, automated compatibility fixes, and operational resilience. Partner closely with Customer Engineering and Support teams to identify recurring operational issues and eliminate them systematically through automation and platform improvements. Lead technically ambiguous projects from exploration through production rollout while balancing speed, reliability, and long-term maintainability. Mentor engineers, raise technical standards, and help shape engineering direction across the integrations ecosystem. What You’ll Need: 5+ years professional experience building backend systems and developer tooling in Python. Experience designing extensible frameworks, APIs, automation systems, or platforms used by other engineers. Experience leveraging AI or LLM APIs in engineering workflows, developer tooling, operational systems, or product experiences. Ability to independently drive large or ambiguous technical initiatives and make strong tradeoff decisions with business context in mind. Strong systems thinking and debugging skills across complex distributed or integration-heavy environments. Experience improving engineering velocity and operational reliability through automation and platform investments. Strong communication skills and the ability to collaborate effectively across engineering, product, support, and customer-facing teams. Experience mentoring engineers and influencing technical direction beyond your immediate team. A strong bias toward shipping, iteration, experimentation, and continuous improvement. Passion for developer experience and building tools that make other engineers dramatically more effective. Belief in our values and a willingness to own outcomes end-to-end. Nice To Have: Experience working with data integration systems, ETL/ELT pipelines, APIs, or connector frameworks. Familiarity with Airbyte CDKs, Connector Builder, MCP servers, agent tooling, or low-code integration platforms. Experience building AI agents, operational automation systems, or self-healing infrastructure. Experience contributing to or maintaining open source projects. Familiarity with rollout strategies, progressive deployments, compatibility migrations, or automated remediation systems. Experience working with large-scale API ecosystems and handling schema evolution, rate limiting, or unreliable upstream systems. Location: Onsite 4 days/week in San Francisco, CA Why You'll Love Working at Airbyte: At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include: Flexible PTO with a culture that encourages at least 25 days off annually 16 weeks fully paid parental leave for all parents Comprehensive medical, dental, and vision coverage for employees and dependents 401(k) retirement plan Professional development budget, conference sponsorship, and book reimbursement Commuter benefits and monthly internet reimbursement Breakfast and lunch in our San Francisco office A collaborative, in-person culture focused on learning, growth, and impact If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements! We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered. Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.