MLA Site Reliability Engineer; SRE Kubernetes

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 cooperation with enjoyment.

We are the AI Experience Framework team that builds the platform powering Service Now'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 Service Now 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. 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, Git Ops-based deployments, observability, and production monitoring. Work within a client-directed backlog and established priorities.

5+ years of experience in Site Reliability Engineering, Dev Ops, 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 Git Ops 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.

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

Flexible and remote cooperation options International projects with leading global clients Travels related to international projects Non‑corporate atmosphere Access
* to language classes Access
* to knowledge‑sharing initiatives Access
* to private healthcare and life insurance Access
* to multisport card The availability and terms of individual benefits may vary depending on the chosen form of cooperation.