Software Engineer, Platform

Airbyte • San Francisco, CA

2d • Onsite

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 the infrastructure and reliability engineer on the Data Replication team - a full-stack product team running over 3 million sync jobs a week powering thousands of data use cases across multiple regions and clouds. You’ll build and maintain the infrastructure, set reliability standards, drive down incidents, and make it easier and safer for engineers to ship through tooling. You're equally comfortable in a Terraform file, a Kubernetes cluster, and a postmortem doc. 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. If you're not already doing this, you should be excited to start. We care as much about how you work as what you build. Trust, directness, and craftsmanship matter here.

Requirements

• 7+ years in infrastructure, platform engineering, SRE, or DevOps.
• Hands-on ownership of Kubernetes, Helm, and Terraform in production environments.
• Deep experience with observability stacks (Prometheus, Grafana, Datadog) and on-call operations.
• Experience with CI/CD pipeline ownership and developer tooling.
• Ability & willingness to read backend code to understand how systems break and instrument them correctly.
• Fluency with AI tools - LLMs and agentic frameworks to automate, debug faster, and reduce toil.
• A startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end.

Nice To Haves

• Data pipelines, replication systems, or ETL/ELT platforms.
• Control plane / data plane architectures or internal developer platforms.
• Experience with Airbyte, CDKs, or connector-based architectures.

Responsibilities

• Own the infrastructure underpinning the Data Replication platform - Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.
• Partner with product engineers to reliably integrate product features with infrastructure.
• Maintain and enhance observability, alerting, and anomaly detection with an eye towards LLM automation.
• Maintain and enhance AI-augmented release and internal tooling: canary deployments, progressive rollouts, automated release qualification, and rollback automation - with an eye towards LLM automation.
• Set the infrastructure bar for the team - build self-serve tooling, write runbooks, and coach engineers to own more of their stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed