Site Reliability Engineer

We''re looking for a seasoned SRE to join a fast-paced infrastructure team building and scaling a self-service compute platform. You''ll own the platform end-to-end — control plane, reliability/uptime, runtime, and deploy pipelines — enabling engineering teams to provision Kubernetes clusters, workloads, and VMs on demand across public cloud and on-prem environments.

Responsibilities

• Design and operate a multi-cluster Kubernetes platform including controllers, CRDs, and ingress/DNS/TLS automation
• Build and harden platform microservices — CI/CD, SSO, RBAC, secret encryption, and real-time monitoring workflows
• Integrate AI tooling into workloads; build agents and tools to help SRE teams scale and operate efficiently
• Own the production release path: Helm-driven deployments, multi-arch container builds, staged rollouts, and rollback playbooks
• Instrument the platform with audit logging, usage analytics, and automation to support a large internal user base

Required

• 6+ years of DevOps/SRE experience operating production Kubernetes (on-prem or cloud), with depth in CRDs, operators, ingress, and cluster networking
• Experience integrating AI tools with operational workflows
• Strong Python or Go plus working knowledge of TypeScript/React — comfortable across backend services, frontend UX, and infrastructure-as-code
• Production experience with cloud provisioning (AWS or equivalent), identity federation (OIDC/SAML), and secret management
• Solid grounding in relational databases, caching layers, and async networking patterns (SSH tunnels, WebSockets, message queues)
• BS/MS in CS or equivalent, with a track record shipping internal developer platforms and CI/CD pipelines

Nice to Have

• Deep experience with agentic workflows, CLI tooling, and MCP integrations
• Comfort building AI-assisted tooling on platform telemetry — automated runbooks, anomaly detection, or LLM-driven ops workflows
• CI tools (Jenkins, GitLab CI), CD tools (Argo, Flux), monitoring (PrometheGrafana, Victoria Metrics, Datadog, Splunk, Kibana)
• Linux, multi-tenant environments, VM administration, and Kubernetes orchestration
• Strong documentation habits — runbooks and docs that let the next engineer ship on day one