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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. 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
