GCP Devops with Release Management

Virtusa

Job Requirements

We are seeking a hands-on Sr. Cloud Engineer / GCP Cloud to own the end-to-end architecture, deployment, and operational resilience of our Google Cloud Platform

In this role, you will act as both a strategic architect and a hands-on builder. You will lead the platform from Day 0 greenfield setup to production-ready infrastructure using Infrastructure as Code establish robust Site Reliability Engineering observability practices, and deploy the foundation powering our Agentic AI Solution Platform.

Key Responsibilities

Day 0 GCP Architecture Setup

Establish enterprise-grade GCP landing zones from scratch, including Organization Structure, IAM, and Security controls.

Design and execute core cloud networking: VPCs, Shared VPCs, Firewalls, and Private Service Connect (PSC).

Infrastructure as Code Automation

Write, test, and maintain 100% automated infrastructure code using Terraform for reproducible multi-environment setups.

Build automated CI/CD pipelines for seamless infrastructure and service deployments.

SRE, Observability Reliability Engineering

Establish SRE frameworks from the ground up—defining SLIs, SLOs, SLAs, error budgets, runbooks, and automated incident response

High Availability, Resiliency Disaster Recovery

Design and implement Multi-Zone and Multi-Region architectures with Active-Active/Active-Passive deployment models.

Engineer automated failover mechanisms capacity planning and fault-tolerant systems to meet strict RTO/RPO and Business Continuity requirements

Security Identity Management

Design and enforce enterprise-grade auth frameworks, including OAuth 2.0, OpenID Connect (OIDC), SAML, and Zero Trust access controls

Secure service-to-service communications, API endpoints, KMS, and secrets across cloud-native and Agentic AI platforms.

Agentic AI Platform Support Forward Deployment

Deploy and scale cloud infrastructure specifically tuned for Agentic AI workloads

Required Qualifications & Experience

GCP Expertise: 6–8+ years designing operating and automating production environments on Google Cloud Platform.

Proven Track Record: Proven experience leading at least 3 enterprise-scale production projects built on GCP from inception through post-launch management

DevOps Scripting: Proficient in Python Bash Docker and modern CI/CD tools

Certifications: GCP Professional Cloud Architect credential preferred

Work Experience

5-7Years