Site Reliability Engineer
Job in
San Francisco, San Francisco County, California, 94102, USA
Listed on 2026-07-01
Listing for:
United IT
Full Time
position Listed on 2026-07-01
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Job Description & How to Apply Below
Staff Site Reliability Engineer (SRE)
Location:
San Francisco, CA
As our Staff SRE, you'll be the primary expert responsible for our entire compute ecosystem. Your key responsibilities will include:
As a Staff SRE, you'll operate at the highest level of technical expertise and influence. You won't just solve problems; you'll prevent them at a fundamental level across organizational boundaries.
- Design, implement, and lead large-scale, cross-functional projects to improve the reliability, performance, and efficiency of our core services and infrastructure (10× impact).
- Drive the reduction of toil by developing and deploying sophisticated automation tools and frameworks, championing the "everything as code" philosophy.
- Serve as a technical escalation point for critical incidents, perform deep-dive root cause analyses (RCAs), and implement robust corrective measures to prevent recurrence.
- Define and implement SLOs, SLIs, and Error Budgets for critical services. Enhance our monitoring, logging, and tracing systems to provide comprehensive visibility into system health.
- Set the technical direction and best practices for the entire SRE and engineering organization. Mentor mid-level and senior engineers on design patterns, operational rigor, and reliability principles.
We're looking for a leader and a deep technical expert with a proven track record of solving the hardest scaling and reliability challenges.
Required Qualifications- 8+ years of progressive experience in Site Reliability Engineering, Production Engineering, or a closely related role.
- Expert-level proficiency with AWS, including networking, compute, and storage.
- Deep expertise in Kubernetes and the cloud-native ecosystem.
- Fluency in at least one major scripting/programming language for automation and tooling (e.g., Python, Go, or Java).
- Solid experience with monitoring and logging solutions (Datadog)
- Proven ability to design and implement robust, highly available distributed systems.
- Demonstrated experience with Infrastructure as Code tools like Terraform.
- Exceptional communication skills, capable of explaining complex technical issues to both technical and non-technical audiences.
- Experience implementing Service Mesh technologies (e.g., Istio, Linkerd).
- A strong understanding of security principles and practices in a cloud environment.
- Certifications such as CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer).
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