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Why this grade This listing scored 27/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
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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.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 19 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.