GCP DevOps & Kubernetes Engineer

Job Summary

We are seeking a highly motivated DevOps Engineer with strong expertise in cloud infrastructure, CI/CD automation, containerization, and Infrastructure as Code (IaC). The ideal candidate will be responsible for designing, implementing, and maintaining scalable cloud environments while enabling efficient application deployment, automation, and operational excellence.

This role requires hands-on experience with Google Cloud Platform (GCP), Jenkins, Terraform, Docker, Kubernetes/Amazon ECS, and modern distributed application architectures.

Key Responsibilities Cloud Infrastructure Management

• Design, implement, and maintain cloud infrastructure solutions on Google Cloud Platform (GCP) or equivalent cloud platforms.
• Ensure infrastructure scalability, reliability, security, and high availability.
• Monitor cloud environments and optimize performance across production and non-production systems.

CI/CD Automation

• Build, maintain, and enhance CI/CD pipelines to support automated application build, testing, and deployment processes.
• Implement DevOps best practices to improve deployment efficiency and operational excellence.
• Drive automation initiatives to reduce manual effort and improve system reliability.

Infrastructure as Code (IaC)

• Automate infrastructure provisioning and configuration management using Terraform and Infrastructure as Code methodologies.
• Develop and maintain reusable infrastructure modules and deployment templates.
• Ensure infrastructure consistency across environments.

Containerization Orchestration

• Deploy, manage, and troubleshoot containerized applications using:

  • Docker
  • Kubernetes
  • Amazon ECS

• Implement container orchestration best practices for scalable and resilient application deployments.

Application Platform Support

• Collaborate closely with development teams supporting applications built on:

  • Java
  • Spring Framework
  • Spring Boot

• Troubleshoot application, deployment, and infrastructure issues across environments.

• Support release management and production deployments.

Database System Administration

• Support and manage relational database environments, including:

  • Amazon RDS
  • IBM DB2
  • Other DBMS platforms

• Monitor database performance and assist with troubleshooting and optimization activities.

Architecture Documentation

• Participate in architecture discussions and contribute to modern distributed system designs.
• Maintain technical documentation, deployment procedures, infrastructure configurations, and operational runbooks.
• Recommend improvements to enhance scalability, security, and performance.

Required Skills Cloud Technologies

• Google Cloud Platform (GCP)
• Google Certified Cloud Engineer Certification (Preferred)
• Cloud Infrastructure Management

DevOps CI/CD

• Jenkins
• CI/CD Pipeline Development Management
• Build Release Automation
• DevOps Best Practices

Infrastructure as Code

• Terraform
• Infrastructure Automation
• Configuration Management
• Infrastructure as Code (IaC)

Containerization Orchestration

• Docker
• Kubernetes
• Amazon ECS

Development Application Technologies

• Java
• Spring Framework
• Spring Boot

Databases

• Amazon RDS
• IBM DB2
• Relational Database Management Systems (RDBMS)

System Architecture

• Microservices Architecture
• Load Balancing
• Caching Technologies
• Message Queues
• Distributed Systems

Preferred Qualifications

• Google Certified Cloud Engineer Certification.
• Experience with enterprise-scale cloud transformation projects.
• Strong understanding of security, monitoring, and observability practices.
• Experience supporting high-availability and mission-critical applications.
• Exposure to multi-cloud environments is an added advantage.

Experience Required

• 5+ years of DevOps/Cloud Engineering experience.
• Strong hands-on experience with GCP, Jenkins, Terraform, Docker, and Kubernetes/ECS.
• Experience building and managing end-to-end CI/CD pipelines.
• Proven expertise in Infrastructure as Code and cloud automation.
• Experience supporting distributed and microservices-based applications.