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Airbyte is seeking a Software Engineer for its Data Replication team to enhance cloud data services and build internal tools. You'll work closely with large-scale systems and collaborate across teams on technical decisions.
The ideal candidate has 7+ years of development experience, with strong JVM/Kotlin skills and familiarity with distributed systems. This role is onsite 4 days a week in San Francisco, CA.
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.
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.
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.
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).
Onsite 4 days/week in San Francisco, CA
If you find this role exciting, we encourage you to apply even if you think you don’t meet all of the requirements!
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.