Lead DevOps Engineer (GCP)

We are seeking a Lead DevOps Engineer with solid experience in designing, automating and supporting cloud-based infrastructure across GCP. The ideal candidate should be comfortable collaborating with development teams to enhance deployment processes, infrastructure reliability, scalability, security and operational efficiency.

This position requires hands-on experience with CI/CD pipelines, Infrastructure as Code, cloud services, containerization, monitoring and automation.

Responsibilities

• Design, build and maintain cloud infrastructure using GCP
• Implement and enhance CI/CD pipelines for application delivery
• Automate infrastructure provisioning and configuration through Infrastructure as Code
• Support containerized applications and cloud-native deployments
• Collaborate with development, QA, security and operations teams
• Enhance system reliability, scalability, performance and security
• Monitor production systems and assist with troubleshooting and incident resolution
• Define and promote DevOps best practices across engineering teams

Requirements

• Strong background as a DevOps Engineer or Cloud Engineer
• Hands-on expertise in at least one major cloud platform: GCP
• Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps or similar
• Familiarity with Infrastructure as Code tools such as Terraform, CloudFormation, ARM/Bicep or Pulumi
• Practical experience with Docker and containerized environments
• Understanding of Kubernetes or cloud container services
• Hands-on work with monitoring, logging and alerting tools
• Strong scripting skills in Bash, Python, PowerShell or similar
• Solid understanding of networking, security and cloud architecture fundamentals
• Capability to work independently and support production environments

Nice to have

• Hands-on experience administering Kubernetes clusters
• Practical knowledge of Helm, Argo CD or GitOps practices
• Background in cloud security and compliance
• Exposure to serverless architectures
• Familiarity with cost optimization in cloud environments