GCP Cloud Engineer - IN
Photon · India
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