Software Engineer, Platform
About The Position
Airbyte is the open-source standard for data movement. We've enabled data teams to move data from applications, APIs, unstructured sources and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors built and hundreds of thousands of companies adopting Airbyte, we've proven the economics of data integration at scale. And now Airbyte is building the frontier agentic data infrastructure, purpose-built for AI agents that need fast, accurate access to data across hundreds of sources. Our mission: make data available and actionable, everywhere. We've raised $181M from the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and we believe in product-led growth, where we build something awesome that all our users love. We’ve raised enough capital to explore boldly, but we still choose to move quickly, stay scrappy, and experiment constantly as we find the right paths in an AI-native landscape. 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.
Requirements
- 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 Haves
- 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).
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
