San Francisco, United States
Staff Site Reliability Engineer
Raydar · San Francisco · United States
- Salary
- $240,000–$320,000 per year
- Contract
- Full time
- Occupation
- DevOps / Platform Engineer
Posted: 10/20/2026 · Last checked: 10/28/2026
Job description
Quoted in full from Raydar's job posting. Gavroche does not edit it.
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Serve as the senior individual contributor accountable for the reliability, delivery and security of a production cloud platform. The work involves finding gaps in infrastructure and release processes, proposing fixes to senior leadership and carrying them through to measurable improvements.
What you'll do
- Review the infrastructure and deployment pipeline early on so that fixes are released safely and correctly.
- Identify reliability and delivery gaps, present a remediation plan to senior leadership and drive it to completion.
- Improve uptime and deployment speed in measurable ways without compromising security.
- Own service level objectives, incident response, observability and disaster recovery against a very high availability target.
- Secure the cloud and container orchestration environment and produce evidence for compliance audits and financial-sector regulatory frameworks.
Requirements
What we're looking for
- 5 to 10 years of experience in platform, infrastructure or reliability engineering.
- A proven record of designing and operating production systems, including ownership of core infrastructure, automation and deployment workflows.
- Experience owning production infrastructure security, including identity and access management, secrets, network policy and audit or compliance work, ideally in a regulated environment.
- Strong programming skills in Python or TypeScript.
- Deep hands-on experience running Kubernetes in production on AWS, including service mesh and GitOps-based delivery.
- Track record of keeping systems available and dependable, using service-level targets and failure-budget thinking to guide decisions.
- Regular, deep use of modern AI coding tools in day-to-day work.
- Bachelor's degree in Computer Science.
Bonus points
- Prior time at a smaller company in its formative years, ideally in a very early engineering role.
Benefits
Compensation and benefits
- Base salary: USD 240,000 to 320,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
From Gavroche data
Figures computed from live adverts on Gavroche; the job text above is the employer's.
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