Senior DevOps Engineer

Job Summary
We are looking for an experienced Senior DevOps Engineer / SRE with strong hands-on expertise in GCP, GKE, Kubernetes, Terraform, GitLab CI/CD, and Istio. The ideal candidate should have experience in production reliability, cloud infrastructure, monitoring, incident management, security, and automation. Experience with AI/LLM developer tools and AI-assisted SRE workflows will be an added advantage.
Key Responsibilities
Manage SRE, DevOps, and platform reliability activities across production environments.
Build and maintain monitoring, alerting, dashboards, and observability for GCP and GKE services.
Work with Cloud Armor, Spanner, VPC, IAM, and other GCP services.
Manage and maintain Kubernetes/GKE infrastructure and Istio service mesh.
Design and maintain infrastructure using Terraform, including reusable modules and migrations.
Manage VPC Service Controls, IAM, access controls, and security hardening.
Build and maintain GitLab CI/CD pipelines, runners, repositories, and pipeline templates.
Handle production incidents, troubleshooting, remediation, and root-cause analysis.
Review infrastructure and platform merge requests and ensure adherence to best practices.
Support infrastructure, deployment, connectivity, and access-related issues for engineering teams.
Develop automation and internal tooling to reduce repetitive operational tasks.
Contribute to repository and shared-service migrations across GitLab environments.
Use AI developer tools such as Cursor, Claude Code, or OpenCode for development, debugging, automation, and code reviews.
Required Skills
4–6 years of experience in DevOps / SRE with production cloud environments.
Strong hands-on experience with GCP.
Experience with GCP IAM, VPC Networking, VPC Service Controls, and Cloud Armor.
Strong production experience with Kubernetes / GKE.
Hands-on experience with Istio or similar service mesh.
Strong experience with Terraform, including reusable modules and infrastructure migrations.
Experience with GitLab CI/CD, runners, repositories, and pipeline templates.
Experience with Cloud Monitoring, Prometheus, and Grafana.
Strong understanding of incident response, production support, troubleshooting, and RCA.
Working knowledge of AI/LLM fundamentals, including prompting, tokens, context, hallucinations, and AI limitations.
Hands-on experience with AI coding/developer tools such as Cursor, Claude Code, or OpenCode.
Good understanding of DevOps, Agile, cloud infrastructure, networking, and security.
Strong problem-solving, communication, and prioritization skills.
Supporting Skills
Experience with Confluent / Kafka operations.
Working knowledge of Spanner and other managed GCP data services.
Experience with GitLab administration, service accounts, and access-role management.
Scripting experience with Python, Go, or Bash.
Experience with LLM-based agents, MCP servers, or AI-driven operational automation.
Understanding of AI security and data-handling risks involving infrastructure code, secrets, and production data.
Good to Have
GCP | Kubernetes/GKE | Terraform | GitLab CI/CD | Prometheus/Grafana
Shift Timings
3 PM to 12 AM
Location- Noida (Hybrid- 3 days WFO)
Skills: grafana,gitlab,cd,kubernetes,gke,ci,gcp,terraform,prometheus

Work arrangement
Hybrid