GCP Cloud Engineer - IN

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