[MLA] Senior Site Reliability Engineer (SRE) – Kubernetes

About this role

Project – the aim you'll have We are the AI Experience Framework team that builds the platform powering ServiceNow's AI-first user interfaces - an SSR runtime (karuna) built on Lit and server-rendered web components, running behind a multi-tier proxy/HTTP2 routing chain with sharded V8 isolate pools, paired with a ServiceNow Glide/Java platform layer (karuna-glide) that supplies metadata, ACLs, and service artifacts. This role owns production reliability for that stack end to end: Kubernetes deployment and operations, observability, and hands-on troubleshooting of both the Node.js and JVM sides of the system - not generalist infrastructure work.

Position – how you’ll contribute Support the deployment, operation, and reliability of production services running on Kubernetes. Monitor service health and investigate production incidents across distributed applications. Participate in on-call support, incident response, root cause analysis, postmortems, and reliability improvements. Troubleshoot application runtime, networking, and service-to-service issues in collaboration with engineering teams.

Support CI/CD, GitOps-based deployments, observability, and production monitoring. Work within a client-directed backlog and established priorities. Expectations – the experience you need 5+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, Production Engineering , or a closely related role, including strong recent hands-on experience supporting Kubernetes-based production services. 3+ years of hands-on production Kubernetes experience strongly preferred.

Kubernetes production operations, including deployment, scaling, rollout / rollback, resource tuning, and service-to-service troubleshooting Strong production incident response experience, including on-call, runbooks, postmortems, and paging hygiene Splunk experience for log aggregation, search, and production troubleshooting Prometheus and Grafana experience, specifically building alert rules and dashboards, not only using existing dashboards CI/CD and infrastructure-as-code for containerized deployments, including Helm and GitOps tools such as ArgoCD or Flux Strong Linux and networking fundamentals, including DNS, load balancing, TCP / HTTP, HTTP/2, and Kubernetes networking Production troubleshooting experience across Node.js and JVM/Java services, with strong depth in at least one runtime environment.