Job Description

should possess deep technical expertise in Google Cloud Platform (GCP), Kubernetes (GKE), Terraform, and Azure DevOps, along with strong scripting, networking, and automation skills. 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) Excellent communication and collaboration abilities Self-driven, proactive, and able to work independently or in cross-functional teams 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. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world's toughest problems. Youll be challenged, but you won't be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: India (IN) || Noida Req ID: 774498 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.

Skills Required