Location: Bengaluru, India
Work Mode: Hybrid (3 Days/Week Work from Office)
Experience: 4–8 Years

About the Role

We are looking for a highly skilled DevOps [Google Cloud] Engineer to build, scale, and manage cloud infrastructure, CI/CD pipelines, and platform reliability for a high-growth AI-driven product company. You will collaborate closely with software engineering, data engineering, and AI teams to improve deployment velocity, platform scalability, observability, security, and operational excellence.

This role is ideal for someone passionate about cloud-native technologies, Kubernetes, automation, Infrastructure as Code (IaC), and contemporary DevOps practices.

Key Responsibilities

Cloud Infrastructure
- Design, build, and manage scalable cloud infrastructure on Google Cloud Platform (GCP).
- Manage multiple environments including Development, Staging, Production, Preview, and Playground.
- Develop reusable Infrastructure-as-Code modules using Terraform.
- Ensure high availability, disaster recovery, backups, scalability, and secure infrastructure.




- Own platform operations and act as the primary escalation point for infrastructure issues.

Kubernetes & Platform Operations
- Manage production Kubernetes clusters (GKE) and containerized microservices.
- Support databases, background jobs, queues, and distributed systems from an infrastructure perspective.
- Partner with engineering teams to improve performance, scalability, resiliency, and production debugging.

CI/CD & Release Engineering
- Design, maintain, and optimize CI/CD pipelines using GitLab CI and ArgoCD.
- Implement automated deployments, rollback strategies, blue-green deployments, and canary releases.
- Build preview environments and self-service deployment workflows.
- Improve developer productivity through automation and standardized infrastructure.

Observability & Reliability
- Implement end-to-end monitoring using OpenTelemetry.
- Build dashboards, alerts, and monitoring solutions using tools li

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