Key Responsibilities:

• Design, implement, and manage scalable CI/CD pipelines using GitHub Actions / Jenkins /

   Cloud Build / Azure DevOps.

• Deploy, manage, and monitor containerized applications using Kubernetes (GKE).

• Automate cloud infrastructure provisioning using Terraform and IaC best practices.

• Manage and optimize cloud environments across GCP (and AWS if required).

• Implement security, monitoring, and logging solutions for cloud workloads.

• Work on BigQuery for analytics workflows and data integration.

• Manage source control and versioning through GitHub.

• Develop and maintain automation scripts using Python, PowerShell, and Shell scripting.

• Troubleshoot and optimize cloud networking, load balancers, and connectivity issues.

• Ensure high system availability, reliability, and scalability in production environments.

Technical Skills Required:

• Cloud Platforms: GCP (primary), AWS (good understanding), Azure DevOps

• Containerization & Orchestration: Kubernetes (GKE), Docker

• Infrastructure as Code (IaC): Terraform, Cloud Deployment Manager

• CI/CD Tools: GitHub Actions, Jenkins, Cloud Build, ArgoCD, Azure DevOps

• Programming/Scripting: Python, PowerShell, Shell scripting

• Cloud Services: GCP (Compute, VPC, IAM, BigQuery, Cloud Functions, Pub/Sub)

• Networking: Load balancers, Firewalls, VPC, Subnetting, DNS, VPN, routing

• Operating Systems: Strong understanding of Linux and system administration

• Version Control: Git, GitHub

• Monitoring/Logging: Stackdriver, Prometheus, Grafana (added advantage)

Soft Skills:

• Strong analytical and troubleshooting skills

• Excellent communication and collaboration abilities

• Self-driven, proactive, and able to work independently or in cross-functional teams

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Relevant certifications (e.g., GCP Professional DevOps Engineer, Kubernetes Administrator, AWS

Certified DevOps Engineer) are a plus.