Staff Site Reliability Engineer
Provides technical leadership for the reliability architecture and operational foundations of a multi-region, multi-cloud platform for AI applications. The role requires deep Kubernetes and distributed-systems expertise, infrastructure programming, cloud knowledge, and experience setting SRE standards and mentoring engineers.
About the job
Responsibilities
- Own the reliability architecture of the platform across regions and cloud providers.
- Collaborate with platform teams, providing internal support and guidance on operability, capacity, and best practices.
- Set operational standards for on-call quality, incident response, and SLO discipline.
- Mentor and technically develop the SRE team.
- Participate in a 24/7 on-call rotation to resolve platform infrastructure issues.
Requirements
- 10+ years of experience working on software and operating distributed systems.
- Deep Kubernetes expertise, including designing or evolving multi-cluster platforms.
- Proficiency in Python, Go, or a similar programming language.
- Understanding of workload isolation at the systems level, including containers, virtual machines, and trade-offs for running untrusted code.
- Customer-focused mindset.
- Preference for automation over manual processes and strong operational efficiency.
- Intimate familiarity with infrastructure primitives of at least one of AWS, Google Cloud, or Microsoft Azure, with the ability to reason about differences between them.
- Track record of driving infrastructure architecture across teams and mentoring engineers.
Skills
Kubernetes, Python, Go, Distributed Systems, AWS, GCP, Microsoft Azure, Multi-Cloud, Incident Response, SLOs, Capacity Planning, Observability, Networking, Containers, Virtual Machines
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