Job Summary
As an SRE or Platform Reliability Engineer, you will help ensure the dependable operation of a GPU-accelerated AI platform. You will establish how reliability is measured, define service-level indicators and objectives, and make platform health and reliability states accessible to administrators through well-designed APIs. Working across the observability stack, you will lead efforts to identify and resolve performance issues.
Responsibilities
- Define and measure platform reliability by developing service-level indicators (SLIs) and service-level objectives (SLOs).
- Design APIs that communicate reliability states to platform administrators.
- Use the observability stack to investigate performance concerns and drive their resolution.
- Apply Kubernetes signals and monitoring data to understand platform behavior and reliability.
Qualifications
- At least 5 years of experience in site reliability engineering (SRE) or platform reliability roles.
- Strong software engineering skills, with proficiency in Go or Python.
- Proficiency with observability tools and technologies.
- Deep understanding of Kubernetes signals and how they inform platform reliability.
