Staff Site Reliability Engineer

Role overview Set technical direction for production reliability and infrastructure across cloud systems, internal platforms, and tooling that supports AI initiatives. This hands-on staff-level role combines building critical systems with leading cross-team programs, advising product engineers, and improving reliability, security, scalability, and cost efficiency across distributed engineering teams.

Responsibilities - Define and drive infrastructure, reliability, and platform strategy with engineering leadership; lead complex designs and review technical proposals. - Establish service-level indicators, objectives, error budgets, monitoring, and production readiness practices with product teams. - Lead high-severity incident response, blameless reviews, capacity planning, disaster recovery, and failure testing. - Build and operate cloud infrastructure and platform workflows using infrastructure as code, container orchestration, and GitOps. - Develop governed AI model gateways, access controls, audit trails, and secure data connections; apply automated security and privacy safeguards. - Improve cloud and AI workload cost visibility and efficiency, and mentor engineers across distributed teams.

Requirements - 10 or more years of software engineering experience in SRE, infrastructure, platform, DevOps, or backend roles, including operating production systems at scale. - Track record of leading complex, multi-team infrastructure or reliability initiatives and influencing technical direction. - Strong coding skills in Go, Python, or TypeScript and sound software engineering practices. - Deep hands-on experience with AWS, Kubernetes, and Terraform. - Strong understanding of distributed systems, PostgreSQL, CI/CD, and observability tools. - Practical experience with SLI/SLO implementation, incident response, and effective post-incident reviews. - Clear communication skills and sound judgment in balancing reliability, delivery speed, and cost.

Nice to have Experience with Kubernetes operators, AI gateways or model routing, governance and privacy scanning, cloud cost optimization, regulated industries or compliance frameworks, and globally distributed teams.

Benefits and work setup The position is listed as remote in the United States. The stated base salary range is $156,000–$275,000, with final pay dependent on location and qualifications. The listing also references bonus, equity, and benefits, with details provided separately.