Java Developer

Introduction:

The candidate is a Senior Java Engineer with extensive experience in developing and optimizing enterprise-level applications and cloud infrastructure, particularly in Azure and AWS environments. With a strong background in DevOps, they have led teams to enhance incident response times, improve application monitoring, and implement CI/CD pipelines for continuous integration and deployment. Their expertise spans across Java, SpringBoot, J2EE, and microservices development, where they’ve designed and implemented scalable APIs and services for large-scale systems. The candidate has been instrumental in migrating monolithic architectures to microservices, improving system performance and scalability, and enabling zero-downtime deployments through blue/green pipelines. They have successfully led digital transformation projects, particularly in retail and financial sectors, optimizing systems for real-time payments and fraud detection. Their deep knowledge of cloud-native architectures, database management (PostgreSQL, OracleDB), and message queue management (Kafka, ActiveMQ) has consistently contributed to the scalability and reliability of critical systems. Additionally, the candidate has demonstrated strong leadership in fostering agile development practices, collaborating across teams, and optimizing system performance using profiling tools like YourKit. They also have experience in legacy system refactoring, test strategy development, and performance tuning, ensuring high-quality, secure, and scalable enterprise applications.

Responsibilities:

• Cloud Infrastructure Management: Managed and implemented cloud infrastructure on Azure using Ansible, ensuring efficient and secure deployment for real-time systems and applications.
• API and Microservices Development: Designed and developed scalable APIs using Java, Node.js, and Spring Boot to support business logic and inter-service communication in large applications.
• DevOps and CI/CD Pipelines: Led the implementation of CI/CD pipelines with Jenkins and Docker to streamline development processes, reduce deployment times, and enhance application performance.
• Incident and Troubleshooting Management: Acted as the first point of contact for addressing and resolving blocked payments, transfer incidents, and fraud detection issues, ensuring minimal disruption to transaction flows.
• Cloud Migration and System Optimization: Migrated and adapted legacy systems to cloud-native environments, optimizing services for better scalability and operational efficiency on platforms like AWS and Azure.
• Real-time Monitoring Systems: Developed and managed real-time monitoring systems for global payment teams, ensuring the smooth operation of transaction flows and fraud detection processes.
• Agile Team Leadership: Led cross-functional agile teams, driving improvements in incident response times and system support efficiency, and ensuring timely delivery of key milestones.
• Zero Downtime Deployment: Implemented blue/green deployment strategies to ensure zero downtime during system updates, enabling continuous service availability.
• Performance Optimization: Utilized performance profiling tools like YourKit to optimize batch processes and improve system performance beyond initial expectations.
• Database Management and Optimization: Managed PostgreSQL and OracleDB systems, optimizing queries and ensuring efficient database management for large-scale applications.
• Distributed System Development: Worked on distributed systems and implemented messaging services like ActiveMQ, Kafka, and RabbitMQ to ensure reliable and efficient communication between different components.
• System Design and Architecture: Designed and developed the architecture of scalable systems, ensuring modularity and maintainability for long-term success.
• Security and Patching: Ensured the security of cloud infrastructure and applications, handling regular patching and maintaining security policies in compliance with industry standards.
• Cross-team Collaboration: Coordinated with multiple teams to ensure smooth service integration and support across various applications and platforms, improving overall system reliability.
• Performance Monitoring and Scaling: Monitored system performance and scaled services using tools like Jenkins, Ansible, and cloud-native solutions to handle growing user demands and data traffic.