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Airbyte is the data and action layer for AI agents, providing fast, accurate, authenticated access to business data across hundreds of sources. The company has raised $181M from leading investors and operates at scale, processing over 3 million sync jobs per week across multiple regions and clouds.
You will be the infrastructure and reliability engineer on the Data Replication team, a full-stack product team responsible for the platform's infrastructure, reliability standards, incident reduction, and developer tooling. You'll work across Terraform files, Kubernetes clusters, and postmortem documentation.
Key responsibilities include:
- 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
- Set the infrastructure bar for the team by building self-serve tooling, writing runbooks, and coaching engineers to own more of their stack
The role emphasizes active use of AI as a force multiplier—agentic tools to automate toil, augment incident response, and build smarter internal tooling. The company values trust, directness, and craftsmanship.
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 and 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
- Startup-ready mindset: comfortable with ambiguity, moving fast, and owning problems end-to-end
NICE TO HAVE:
- 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
