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.
Job DescriptionProject – 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
Skills Required
- 5+ years in Site Reliability Engineering, DevOps, Platform Engineering, or Production Engineering
- Production Kubernetes operations (deployment, scaling, rollouts, resource tuning, troubleshooting)
- Splunk experience for log aggregation, search, and production troubleshooting
- Prometheus and Grafana experience, including building alert rules and dashboards
- CI/CD and infrastructure-as-code for containerized deployments, including Helm and GitOps tools (ArgoCD or Flux)
- Strong Linux and networking fundamentals (DNS, load balancing, TCP/HTTP, HTTP/2, Kubernetes networking)
- Production troubleshooting across Node.js and JVM/Java services, with deep expertise in at least one runtime (heap snapshots, profiling, GC logs, thread dumps)
- Service-to-service authentication experience (mTLS, certificate rotation/format conversion, JWT-based auth)
- Production incident response experience including on-call, runbooks, postmortems, and paging hygiene
- Very good spoken and written English
- Web Components / Lit experience for UI-level debugging
- Server-side rendering / isomorphic runtime experience
- Canary rollout / multi-version production operations experience
- Distributed tracing and request-context correlation experience
- KEDA or event-driven autoscaling experience
- Experience integrating with enterprise platform layers (e.g., ServiceNow Glide integrations)
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
