Senior Site Reliability Engineer – AI Experience Framework

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Software Mind

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• Own Kubernetes deployment and operational health for Framework services, including scaling, rollout/rollback strategy, and resource tuning • Build and maintain production observability with Grafana dashboards and Prometheus alerting rules across the SSR runtime and Glide platform layer • Diagnose and resolve Node.js production incidents, including event-loop stalls, heap growth, V8 isolate exhaustion, and isolate-pool scheduling issues • Diagnose and resolve JVM production incidents, including GC pressure, thread dumps, and platform-service latency • Own incident response through runbooks, on-call rotation, postmortems, and paging hygiene • Drive CI/CD and infrastructure-as-code for Kubernetes manifests/Helm and deployment pipelines • Partner with framework engineering to identify reliability gaps through capacity planning, load testing, and chaos/failure injection • Represent production reliability concerns in architecture reviews for new framework capabilities

🎯 Requirements

• Production operations/SRE experience, including hands-on Kubernetes deployment, scaling, and incident response • Direct operational experience troubleshooting Node.js in production, including heap snapshots, CPU profiles, event-loop blocking, and process/worker isolation models • Direct operational experience troubleshooting JVM-based services in production, including GC logs, thread dumps, and JVM tuning • Hands-on experience building and maintaining Prometheus alerting rules and Grafana dashboards from scratch • Strong Linux and networking fundamentals, including DNS, load balancing, TCP/HTTP semantics, HTTP/2, and Kubernetes service-to-service networking • Experience with CI/CD and infrastructure-as-code for containerized deployments, including Helm and GitOps tooling such as ArgoCD/Flux or equivalent • Track record owning on-call rotations, writing runbooks, and driving postmortems • Experience with Splunk for log aggregation, search, and production troubleshooting • Hands-on production experience with Valkey/Redis, including key design, TTL/eviction tuning, and tenant-scoped cache invalidation • Experience managing service-to-service mTLS, certificate issuance and rotation, format conversion, and JWT-based service authentication • Very good spoken and written English • Familiarity with server-side rendering architectures and isomorphic-runtime failure modes • Experience operating multi-version/canary rollout strategies • Working knowledge of the ServiceNow Glide platform or comparable enterprise platform integration layer • Experience with distributed tracing and request-context correlation • Familiarity with event-driven autoscaling such as KEDA ScaledObjects driven by PromQL triggers

🏖️ Benefits

• 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