GCP Devops with Release Management

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