Job description
Team & Function Leadership
- Lead, mentor, and grow DevOps/SRE teams hiring, coaching, performance management, and career development.
- Own the DevOps/SRE roadmap and priorities; partner with engineering leaders on production readiness and delivery.
- Define standards, runbooks, and best practices across teams; foster a culture of automation and ownership. Cloud Infrastructure Strategy
- Own cloud infrastructure across GCP/AWS VMs, GKE/EKS-based Kubernetes platforms, networking, and IAM.
- Drive infrastructure as code (Terraform) and standardized, automated workplace management.
- Lead cloud cost optimization (FinOps), capacity planning, and disaster recovery strategy. Reliability Engineering
- Institutionalize SRE discipline SLIs/SLOs, error budgets, and reliability reviews across services.
- Own the observability strategy — metrics, logging, tracing, and alerting (APMs, ELK, Grafana, Prometheus).
- Own incident management end to end — on-call programs, escalation, RCAs, and blameless postmortems; drive down MTTR.
- Govern CI/CD standards (Jenkins, GitLab CI) for rapid, safe releases across engineering. AI-Native Operations
- Champion adoption of AI-native tools across the team for infrastructure automation, incident analysis, and operational efficiency.
- Identify and deploy AI-driven automation for monitoring, alerting, and remediation. Skills Required: DevOps , cicd , jenkins , Kubernetes , Docker , ELK , Prometheus , terraform , Unix , networking , cloud , AI/ML Candidate Attributes: Skills & Expertise (Must Have) 7–10 years in DevOps/SRE/infrastructure roles with 4+ years of team lead / people management experience.



Strong hands-on experience with GCP and/or AWS — compute, networking, IAM, and managed Kubernetes (GKE/EKS). Hands-on experience with AI-native development tools (e.g., GitHub Copilot, Cursor, Claude Code) and demonstrable projects — at work or personal — that show critical thinking and end-to-end deployment of AI-driven solutions. Deep expertise in Kubernetes, Docker, and running containerized workloads at scale. Infrastructure as code with Terraform; scripting in Python, Go, or Bash. Proven SRE experience — SLIs/SLOs, error budgets, incident management, and postmortem culture. Strong observability background — APMs, ELK, Grafana, Prometheus; alerting and dashboard design. CI/CD design and governance at scale — Jenkins, GitLab CI, or similar. Experience with cloud cost optimization, capacity planning, and DR/BCP. Understanding of cloud security — IAM hardening, secrets management, network segmentation, compliance basics. Working knowledge of message queues (RabbitMQ, Kafka) and their operations. Excellent communication, stakeholder management, and people leadership skills. Good to Have Multi-cloud or large-scale cloud migration experience. Exposure to service mesh (Istio/Linkerd), GitOps (ArgoCD/Flux), or chaos engineering. Experience supporting compliance/audit programs (ISO 27001, SOC 2). Mandatory B.
Tech – CS/IT from a reputed college. 7-10 years of experience with 4+ years leading teams. Hands-on technical assessment is a mandatory part of the selection process — candidates will be evaluated on practical, hands-on experience, including the use of AI-native tools and AI-driven solutions they have personally built and deployed.

📌 Sr.Engineer/Lead- DevOps (Noida)
🏢 Indiamart
📍 Noida