Site Reliability Engineer / DevOps Engineer

Eastern Peak is seeking a Site Reliability Engineer / DevOps Engineer to scale and operate core infrastructure for a rapidly growing AI infrastructure platform. You will join an expanding infrastructure team focused on building reliable, scalable, and cost-efficient systems powering production workloads across distributed environments. This role is ideal for someone who enjoys solving complex operational challenges and improving system reliability in a fast-moving startup.

• Build, operate, and continuously improve infrastructure powering a distributed inference platform
• Own reliability, scalability, and operational excellence across AWS-based control planes and multi-provider GPU fleet
• Design and maintain networking between control planes, Kubernetes clusters, and geographically distributed GPU hosts
• Operate and enhance Kubernetes-based orchestration (primarily EKS)
• Manage deployments and infrastructure using Helm, FluxCD, and Terraform
• Improve observability through metrics, logs, traces, dashboards, and alerting (Prometheus, Grafana, Loki, Jaeger, OpenTelemetry)
• Tune alerts, develop runbooks, and strengthen operational readiness as systems scale
• Respond to production incidents, perform root cause analysis, and implement long-term fixes
• Collaborate with globally distributed engineers using clear asynchronous communication and structured handoffs

Required:

• 5+ years of experience in SRE, DevOps, platform engineering, or infrastructure engineering
• Strong production experience with Kubernetes and networking
• Hands-on experience operating AWS infrastructure, especially EKS
• Strong Linux and distributed systems experience, including environments beyond fully managed cloud abstractions
• Experience with Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry
• Experience with GitOps and deployment workflows (Helm, FluxCD or similar)
• Infrastructure as Code experience, ideally Terraform
• Experience with alert tuning, runbooks, and incident management practices
• Clear communicator able to work effectively in async, distributed teams
• Excellent English (spoken and written)

Nice to Have:

• Experience with AI inference, ML infrastructure, or high-performance distributed systems
• Experience managing GPU fleets, bare-metal infrastructure, or multi-provider compute environments
• Experience using AI tools to improve engineering productivity

Remote position with globally distributed team. Async-first work environment with clear communication and structured handoffs.