Senior Site Reliability Engineer (Remote, India) EST
Level AI (company site, opens in a new tab)4–5 yrsRemoteDirect career pageEst. 22–35 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and optimize infrastructure cost efficiency, focusing on Kubernetes overprovisioning reduction and cost telemetry for backend teams.
- Lead GPU throughput optimization experiments on on-premise GPU clusters, partnering with AI service owners.
- Build tools, dashboards, and processes enabling backend teams to manage their own cost and reliability budgets, and contribute to reliability instrumentation and select platform security workstreams.
Minimum Requirements
- 4-5 years of hands-on systems engineering experience.
- Strong backend engineering skills with production experience in Python, Go, or Rust and ability to own services end to end.
- Expertise with Kubernetes at scale including scheduling, resource management, autoscaling, and cost-aware autoscaling tools.
- Must be able to work during EST time zone hours (8 PM to 4 AM IST).
Ideal Candidate Profile
- Experienced in hybrid cloud and on-prem infrastructure, including GCP, Terraform IaC, CI/CD, and on-prem GPU clusters.
- Skilled in GPU workload profiling, batching, server tuning, and utilization metrics for AI/ML workloads.
- Demonstrates a FinOps mindset with measurable outcomes on infrastructure costs and can independently drive platform-security related tasks without heavy DevOps reliance.