Software Engineer, Platform

Airbyte Airbyte · Data AI · San Francisco, CA · Engineering

Airbyte is building agentic data infrastructure for AI agents. This Software Engineer role focuses on the control and data plane systems for data replication and will develop AI-powered tooling for connector generation and incident response. The role requires experience with large-scale distributed systems and familiarity with orchestration frameworks and Kubernetes.

What you'd actually do

  1. Improve and scale cloud data replication and job lifecycle systems as Airbyte Cloud grows.
  2. Automate platform operations across OSS, Enterprise, and Cloud: deployment validation, release qualification, environment testing.
  3. Build high-leverage internal tooling that helps the team ship connector and CDK changes faster.
  4. Develop AI-powered tooling for connector generation and incident response.
  5. Improve observability and debugging tools for both Airbyte engineers and customers.

Skills

Required

  • 7+ years of engineering experience (backend, platform, or distributed systems)
  • 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)

What the JD emphasized

  • AI agents
  • agentic data infrastructure
  • AI-powered tooling
  • connector generation
  • incident response
  • large scale distributed systems
  • orchestration frameworks
  • Kubernetes

Other signals

  • AI agents
  • data infrastructure for AI agents
  • AI-powered tooling