GCP Cloud Engineer - IN

Description GCP Cloud Engineer Role Overview We are looking for a skilled GCP Cloud Engineer to implement, support, and maintain secure, scalable, and automated cloud solutions on Google Cloud Platform (GCP). The role focuses on day-to-day cloud engineering activities, operational support, deployment execution, environment management, and infrastructure maintenance across multiple GCP environments. The ideal candidate will possess strong hands-on experience in GCP services, Infrastructure as Code (IaC), and cloud operations, along with the ability to support application teams and resolve operational issues in a fast-paced enterprise environment. Key Responsibilities Cloud Infrastructure & Environment Support - Support and maintain GCP environments across Development, Testing, UAT, Pre-Production, and Production environments. - Perform day-to-day implementation and operational support activities for cloud infrastructure and platform services. - Deploy, configure, and maintain GCP services such as: - GKE, Cloud Run, Cloud Functions - BigQuery, Bigtable, Cloud SQL, Spanner - Pub/Sub, Memorystore, Artifact Registry - Cloud Storage and related platform services - Configure and maintain networking components including: - VPC, Shared VPC, VPC Peering - Private Service Connect, Private Google Access - Load Balancers, Cloud DNS, Cloud Armor, Firewall Rules - VPN and Interconnect connectivity - Support environment provisioning, updates, patching, and operational maintenance activities. Infrastructure as Code (IaC) - Consume and implement approved Terraform modules/templates - Execute infrastructure provisioning and environment updates using reusable Terraform modules and templates. - Support implementation of Infrastructure as Code standards and best practices. - Assist in troubleshooting Terraform deployment and infrastructure provisioning issues. Containerization & Kubernetes Support - Manage and maintain containerized applications using Docker. - Support workloads deployed on GKE (Google Kubernetes Engine) and Cloud Run. - Assist with Kubernetes deployment configurations, scaling, and operational support activities. - Support microservices-based deployments and orchestration activities. Monitoring, Troubleshooting & Operational Maintenance - Monitor cloud infrastructure and application environments using Cloud Monitoring, Cloud Logging, Dynatrace, and related tools. - Perform operational maintenance activities to ensure platform reliability and stability. - Troubleshoot and resolve infrastructure, deployment, networking, and environment-related issues. - Respond to operational tickets, incidents, alerts, and service requests within defined SLAs. - Provide technical support to frontend and backend application teams for cloud platform and deployment-related issues. Security & Governance Support - Implement and maintain IAM roles, policies, and access controls within GCP environments. - Ensure adherence to organizational security standards, governance policies, and operational procedures. - Support secure networking and connectivity configurations. - Assist with compliance remediation and operational governance activities. Collaboration & Agile Practices Participate in Scrum ceremonies including stand-ups, sprint planning, retrospectives, and release discussions. Collaborate with: - Platform engineers and architects - Frontend and backend development teams - DevOps and QA teams - Onsite and offshore stakeholders - Maintain technical documentation, deployment procedures, and operational runbooks using Confluence and related tools. - Provide regular progress updates on assigned implementation and operational tasks. Continuous Improvement - Stay updated with GCP services, cloud operations practices, and DevOps trends. - Identify opportunities to improve automation, operational efficiency, deployment reliability, and platform stability. - Contribute to process improvements for environment support and operational maintenance activities. - Support ongoing initiatives related to platform optimization and cost efficiency. Minimum Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field or comparable GCP certifications like Associate Cloud Engineer or Professional Cloud DevOps Engineer - 4–6 years of IT experience with minimum 3 years of hands-on experience in GCP. - Hands-on experience with: - Google Cloud Platform (GCP) - Terraform (Infrastructure as Code) - Docker & containerization - CI/CD tools such as Jenkins and SonarQube - Scripting (Bash/Shell, Groovy) Working knowledge of: - GCP services and cloud architecture - Networking (VPC, VPN, Interconnect) - Security, IAM, and governance - Monitoring and logging tools - Familiarity with YAML and JSON configurations. - Experience working with Atlassian tools such as JIRA, Confluence, and Bitbucket. - Strong troubleshooting, analytical, and communication skills. - Preferred / Nice-to-Have Skills Experience with: - Kubernetes (GKE) - Cloud Run and serverless platforms - Microservices-based architectures - Hybrid cloud environments (On-Prem + GCP) Exposure to: - Dynatrace and observability platforms - Apigee API management - Akamai integrations - GitOps and deployment automation tools - Knowledge of build tools such as NPM and Gradle. Key Competencies - Strong hands-on cloud engineering and operational support skills - Troubleshooting and incident resolution ability - Deployment and environment support expertise - Automation and DevOps mindset - Collaboration and communication skills - Attention to detail and ownership mindset - Ability to work effectively in fast-paced Agile environments - Operational reliability and support orientation