Lead Java Platform Engineer - GCP, Kubernetes & CI/CD

• Design, develop, test, and deploy Java-based microservices using Spring Boot.
• Build cloud-native solutions leveraging Google Cloud Platform (GCP) services.
• Develop and maintain scalable, secure, and resilient CI/CD pipelines using Tekton, Cloud Build, and Argo CD.
• Implement GitOps practices and deployment automation across multiple environments.
• Collaborate with stakeholders to analyze functional and non-functional requirements and translate them into technical solutions.
• Define and implement architecture patterns that support scalability, availability, observability, and resilience.
• Manage containerized applications using Docker and Kubernetes.
• Optimize application performance, reliability, and operational efficiency.
• Design and maintain PostgreSQL databases, including schema design and query optimization.
• Integrate SonarQube into development workflows to improve code quality, security, and maintainability.
• Troubleshoot production issues and support continuous improvement initiatives.
• Establish and promote engineering best practices for cloud-native development and CI/CD adoption.

• Minimum 7 years of professional software development experience.
• Strong hands-on experience with Java and Spring Boot.
• Experience designing, developing, and deploying microservices architectures.
• Minimum 3 years of hands-on experience with Google Cloud Platform (GCP).
• Strong expertise in Docker and Kubernetes, including deployment, orchestration, and troubleshooting.
• Experience with CI/CD tools such as Tekton, Cloud Build, and Argo CD.
• Strong knowledge of PostgreSQL, including relational database design, indexing, and query optimization.
• Experience using SonarQube for code quality analysis, security scanning, and governance.
• Knowledge of software design principles, application scalability, and resilience patterns.
• Experience working in Agile development environments.

Preferred

• Experience implementing GitOps methodologies.
• Exposure to cloud security and infrastructure automation practices.
• Experience with observability and monitoring tools.
• Knowledge of enterprise-scale platform engineering practices.