Senior Site Reliability Engineer
Airbyte- Compensation
- $196k–$235k Published range
- Location
- Hybrid - San Francisco, CA, 4 days/week Remote eligibility
- Employment
- Full-time Senior
About the job
About Airbyte
Airbyte is the data and action layer for AI agents, providing fast, accurate, authenticated access to business data across hundreds of sources. Started as the open-source standard for data movement, Airbyte has raised $181M from investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator since 2020.
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 across multiple regions and clouds. You'll build and maintain infrastructure, set reliability standards, drive down incidents, and make it easier and safer for engineers to ship through tooling.
What You'll Do
- 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 - build self-serve tooling, write runbooks, and coach engineers to own more of their stack.
What You'll Need
- 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 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.
Compensation & Benefits
Salary range: $196K – $235K, plus equity. Benefits include flexible PTO, comprehensive health coverage, virtual healthcare, retirement savings, and professional development budget.
Location
Onsite 4 days/week in San Francisco, CA.
Skills & tags
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