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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. 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
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
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.