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)