Site Reliability Engineer, Infrastructure - Analytics Platform

We're looking for an experienced Site Reliability Engineer to own production-critical infrastructure end to end.

This role is centered on data-heavy, low-latency workloads, with emphasis on operating large-scale ClickHouse clusters, high-throughput Kafka pipelines, and reliable integrations with Snowflake. You'll turn ambiguous operational problems into clear plans, ship pragmatic solutions quickly, and improve them through production feedback and iteration.

We are specifically looking for someone who can independently define and raise operational standards across teams while remaining deeply hands-on in production systems. In this role, you will

• Own infrastructure lifecycle management across provisioning, upgrades, scaling, and decommissioning (IaC-first).
• Operate and scale ClickHouse clusters, including sharding, replication, capacity planning, performance tuning, and maintenance.
• Operate Kafka as the ingestion backbone, improving throughput, lag, backpressure handling, and failure recovery.
• Improve end-to-end latency and reliability for data-heavy serving and query workloads.
• Build and maintain strong monitoring and alerting: SLIs/SLOs, dashboards, alert policies, and actionable runbooks.
• Define, implement, and continuously improve incident response standards, on-call practices, and postmortem quality.
• Own backup/restore and disaster recovery strategy, including regular recovery drills.
• Plan and execute safe rollouts across multiple environments (dev/stage/prod), including canary and rollback strategies.
• Partner day to day with software engineers, embedding reliability into design, implementation, and release processes.
• Set the quality bar for operational readiness and runbook standards, and drive adoption across teams.
• Improve CI/CD pipelines and DevEx for faster, safer, and more predictable releases.
• Strengthen security posture across infrastructure and delivery systems (least privilege, secrets management, patching, supply-chain controls).

• A track record of owning production infrastructure for data-heavy, low-latency systems end to end.
• Strong hands-on experience operating ClickHouse, Kafka, and adjacent large-scale data systems.
• Practical experience with Snowflake workflows and cross-system data architecture.
• The ability to independently define operational standards (runbooks, incident process, rollout safety) and make them stick.
• Strong operational experience with Kubernetes, Terraform, and cloud infrastructure.
• Excellent communication and collaboration skills; you work effectively across engineering and research teams.
• High personal rigor and organization in high-pressure production environments.
• A deeply hands-on mindset: willing to debug incidents, tune systems, and implement fixes directly.

$230K - $385K medical insurance, dental insurance, vision insurance, parental leave, paid time off, paid holidays, 401(k), retirement plan United States, California, San Francisco Apr 29, 2026 About the Team

The Scaling team designs, builds, and operates critical infrastructure that enables research at OpenAI.

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity., At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.