[MLA] Site Reliability Engineer (SRE) – Kubernetes

Software Mind; United States; Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Language classes

Private healthcare

Life insurance

Multisport card

Knowledge-sharing initiatives

Job summary

Software Mind is seeking an experienced Site Reliability Engineer to own production reliability across a Kubernetes-based stack, with hands-on work on Node.js and JVM services. You will drive observability, incident response, and postmortems while collaborating with cross-functional teams on CI/CD and GitOps deployments.

Fluent English is required to communicate with global clients. Flexible remote cooperation options and international projects offer substantial opportunities for growth and

Qualifications

• 5+ years of hands-on experience in Site Reliability Engineering, DevOps, Platform Engineering, Production Engineering, or closely related roles.
• Strong hands-on experience supporting Kubernetes-based production services.
• English proficiency, both spoken and written.

Responsibilities

• Own end-to-end production reliability for the target stack (Kubernetes deployment/operations, observability).
• Troubleshoot runtime, networking, and service-to-service issues in Node.js and JVM environments.
• Support CI/CD and GitOps deployments; build and refine observability with alerts and dashboards.
• Participate in on-call support, incident response, postmortems, and reliability improvements.
• Monitor service health; investigate incidents across distributed applications; collaborate with engineering teams.

Job description

Описание:

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.

Задачи:

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. 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.

Требования:

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. 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

Условия:

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.