About the role
Job Description
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.
Qualifications
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. Experience may include Node.js heap snapshots, CPU profiling, event-loop and memory analysis, as well as JVM GC log analysis, thread dumps, JVM tuning, and Java service latency investigation. * Service-to-service authentication experience, including mTLS, certificate rotation, certificate format conversion, and JWT-based service authentication * Very good spoken and written English.
Additional skills – the edge you have
* Web Components / Lit experience, to perform first-level debugging of UI-related issues * Server-side rendering or isomorphic runtime experience * Canary rollout / multi-version production operations * Distributed tracing and request-context correlation * KEDA or event-driven autoscaling * Experience with enterprise platform integration layers
Additional Information
Our offer – professional development, personal growth:
* Flexible employment and remote work * International projects with leading global clients * International business trips * Non-corporate atmosphere * Language classes * Internal & external training * Private healthcare and insurance * Multisport card * Well-being initiatives
Position at: Software Mind