Expert proficiency in multiple programming languages and frameworks - Java, J2EE, Python, Rest API, Angular, Databases: Oracle and PostgreSQL, CI/CD Tools: Jenkins, Azure Pipelines, Containerization technologies like Docker, Kubernetes, and Carvel packaging, Prometheus and Grafana, NATS, RabbitMQ, Cloud implementations - Azure, AWS, GCI, OpenShift, Jenkins, Confluence, BitBucket, AI Tools: Claude and Github Copilot, Performance Testing with JMeter or equivalent tools. Deep understanding of software architecture patterns and design principles, Experience with distributed systems, microservices, Spring Boot, and event-driven architectures, Strong system design and scalability expertise, Knowledge of application runtime environments and underlying infrastructure platforms especially around Container orchestration, Performance optimization and debugging experience at scale, Leverage use of AI tools and integration of AI/ML capabilities to accelerate development.