Staff Site Reliability Engineer

Full-time · Mid / senior

  • San Francisco · CA
  • Posted 21 days ago
Apply on the company site

Checked at the source just now

With your free Joonow account, you continue to the company site and the job stays in your applications.

No real employer charges a fee, a course, an exam or a uniform. Suspicious?

Job description

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

Get ready for this job

Apply