About the role
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)