AES - DevOps - GCP DevOps Engineer
Experience: 5–8 years
Employment Type: Full-time
We are looking for an experienced DevOps Engineer to design and build a secure, scalable, production-ready GCP environment from the ground up. This role goes beyond CI/CD pipelines—the engineer will own cloud foundations, infrastructure, networking, security, automation, observability, and operational readiness.
- Design and implement GCP environments and landing zones from scratch.
- Build multi-project and multi-environment architectures for development, testing, staging, and production.
- Configure VPCs, subnets, routing, firewalls, load balancers, DNS, VPN, and private connectivity.
- Establish IAM, service accounts, secrets management, encryption, security controls, and governance policies.
- Provision infrastructure using Terraform and Infrastructure as Code best practices.
- Deploy and operate GKE, Compute Engine, Cloud Run, storage, and managed database services.
- Build CI/CD pipelines using tools such as Cloud Build, GitHub Actions, GitLab CI, Jenkins, or Argo CD.
- Implement monitoring, logging, alerting, dashboards, and incident-response processes.
- Design backup, disaster recovery, high availability, and business-continuity solutions.
- Optimize cloud performance, reliability, and cost.
- Create technical documentation, operational runbooks, and architecture diagrams.
- 5–8 years of experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on experience designing and building production environments on GCP.
- Proficiency with Terraform, Git, Linux, and scripting using Python, Bash, or similar.
- Experience with Kubernetes/GKE, Docker, and containerized workloads.
- Strong understanding of cloud networking, IAM, security, and governance.
- Experience implementing monitoring and logging with Google Cloud Operations Suite or comparable tools.
- Good knowledge of CI/CD, GitOps, SRE practices, and production operations.
- Strong troubleshooting, communication, and documentation skills.
Preferred: Google Cloud certification and experience migrating workloads to GCP.