Job Title - Senior Devops Engineer/lead
Job Timing - 6:30 PM IST- 3:30 AM IST
Experience Required – 7+ Years
Job Location - Remote
ABOUT THE ROLE
We are looking for a
Senior DevOps Engineer to join our Infrastructure team, focused on Kubernetes operations and automation at scale. You will
drive the strategy and own the health, scalability, and reliability of our Kubernetes clusters, while
architecting and leading the development of tooling that platform and service teams rely on to manage infrastructure safely and efficiently. You will work closely with service owners, platform engineers, and tooling teams —
and mentor junior engineers — to keep clusters running smoothly and to automate away manual, error-prone operational work.
WHAT YOU'LL DO
- Own and drive the roadmap for Kubernetes cluster operations — lead cluster upgrades, manage node groups (scaling, draining, replacement), and maintain overall cluster health across environments at scale
- Lead troubleshooting of complex production and non-production issues — use kubectl, logs, metrics, and other diagnostics to identify root cause and resolve workload, node, and networking failures, often across multiple interdependent systems
- Architect and lead development of internal tooling — design, implement, and maintain automation (scripts, CLIs, controllers, operators) that helps teams manage infrastructure more reliably and with less manual effort
- Drive automation strategy for operational workflows — replace manual runbooks with scripts and tools that handle upgrades, remediation, scaling, and routine maintenance
- Diagnose and resolve complex infrastructure blockers — debug deployment failures, node/pod scheduling issues, resource constraints, and misconfigurations across clusters
- Define and improve observability strategy — instrument logging, metrics, and alerting to increase visibility into cluster health and reduce time-to-detect/resolve
- Set standards for issue tracking and triage — author detailed bug reports capturing root cause, repro steps, and impact; drive issues to resolution and improve team-wide reporting practices
- Partner cross-functionally with service owners, platform teams, and leadership — align on operational requirements, capacity planning, and upgrade/maintenance schedules
- Lead on-call rotations and incident response , own post-incident reviews, and drive continuous improvement initiatives across the infrastructure org
- Mentor and upskill junior and mid-level engineers , providing technical guidance and code/design reviews
WHAT WE'RE LOOKING FOR
Required
- 7-9 years of DevOps, SRE, or Infrastructure Engineering experience
- Deep, hands-on Kubernetes operations expertise — cluster upgrades, node group management, and complex troubleshooting across large-scale, multi-cluster environments
- Strong programming/scripting skills (Python, Go, Bash, or similar) proven track record building, scaling, and maintaining automation and internal tooling used by multiple team
- Advanced skills in reading and interpreting logs, metrics, and system state to diagnose complex, cross-system infrastructure issues
- Extensive experience with cloud infrastructure (AWS, GCP, or Azure), including architecture decisions and cost/performance tradeoffs
- Expert-level debugging skills across distributed systems — able to trace failures from symptom through to root cause in highly complex environments
- Excellent written and verbal communication — able to produce clear status updates, bug reports, technical documentation, and influence technical direction across teams
- Demonstrated experience mentoring engineers and leading technical initiatives
Preferred
Deep experience with infrastructure-as-code tools (Terraform, Helm, Ansible), including designing reusable modules/patterns for org-wide use
Strong familiarity with CI/CD systems (Jenkins, GitHub Actions, Spinnaker, or similar), including pipeline architecture Hands-on experience with GitOps workflows (ArgoCD, Flux) at scale
Advanced experience with observability stacks (Prometheus, Grafana, Datadog), including designing alerting/SLO frameworks
Proven experience operating Kubernetes at scale across multiple clusters, regions, or environments , including capacity planning and disaster recovery
Experience contributing to or leading architectural decisions for infrastructure platforms
TECHNOLOGIES YOU'LL WORK WITH
Kubernetes · kubectl · Python · Go · Bash · Terraform · Helm · Prometheus/Grafana · GitHub · CI/CD tooling · Cloud infrastructure (AWS/GCP/Azure)
