Senior Site Reliability Engineer (SRE) – Kubernetes

Description

The AI Experience Framework team builds the platform behind the company's AI-first user interfaces. It is an server-side rendering runtime built on Lit and server-rendered web components, running behind a multi-tier proxy and HTTP/2 routing chain with sharded V8 isolate pools, plus a Glide/Java platform layer that supplies metadata, ACLs and service artifacts.

In this role you own production reliability for that whole stack: Kubernetes deployment and operations, observability, and hands-on troubleshooting of both the Node.js and JVM sides. It is not a generalist infrastructure position.

Responsibilities

• Help deploy and run production services on Kubernetes.
• Watch service health and investigate production incidents across distributed applications.
• Take part in on-call rotations, incident response, root cause analysis, postmortems and reliability work.
• Diagnose runtime, networking and service-to-service problems together with engineering teams.
• Support CI/CD, GitOps deployments, observability and production monitoring.
• Carry out work from a client-directed backlog, following agreed priorities.

Requirements

• At least 5 years in site reliability, DevOps, platform or production engineering, or a closely related role, with recent hands-on work running Kubernetes-based production services.
• 3+ years of hands-on production Kubernetes experience is strongly preferred. This covers deployment, scaling, rollouts and rollbacks, resource tuning, and troubleshooting service-to-service traffic.
• Solid production incident response experience: on-call, runbooks, postmortems and keeping paging noise low.
• Experience using Splunk for log aggregation, search and production troubleshooting.
• Experience writing Prometheus alert rules and Grafana dashboards yourself, not just using existing ones.
• Experience with CI/CD and infrastructure as code for containerized deployments, including Helm and GitOps tools such as ArgoCD or Flux.
• Strong grasp of Linux and networking, including DNS, load balancing, TCP, HTTP, HTTP/2 and Kubernetes networking.
• Production troubleshooting on Node.js and JVM/Java services, with deep knowledge of at least one. Useful areas include Node.js heap snapshots, CPU profiling, event-loop and memory analysis, and JVM GC log analysis, thread dumps, JVM tuning and Java latency investigation.
• Experience with service-to-service authentication: mTLS, certificate rotation, certificate format conversion and JWT-based service authentication.
• Very good spoken and written English.

Conditions

Flexible and remote working options are available.

Projects are international, for leading global clients.

Some travel is tied to international projects.

The benefits and their terms may vary depending on the form of cooperation you choose.

Equal opportunity applies.

Benefits

• Access to language classes.
• Access to knowledge-sharing initiatives.
• Access to private healthcare and life insurance.
• Access to a multisport card.
• A non-corporate atmosphere.