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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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.