Java Full Stack Developer

Required Qualifications: Strong experience in Java, Spring Boot, REST APIs, and microservices architecture. Hands-on experience with AWS cloud services, Kafka, Docker, and Kubernetes. Practical knowledge of Grafana, Splunk, Dynatrace, or similar observability platforms. Experience with SQL/NoSQL databases, Git, Maven/Gradle, and CI/CD tools. Understanding of distributed systems, cloud-native architecture, troubleshooting, and Agile development practices

Responsibilities: Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, Microservices, REST APIs, and front-end technologies such as Angular or React. Develop and integrate event-driven applications using Apache Kafka, implementing producers, consumers, topics, and asynchronous messaging for real-time data processing. Deploy, configure, and manage cloud-native applications on AWS, leveraging services such as EC2, S3, EKS, IAM, CloudWatch, and related cloud infrastructure components. Containerize applications using Docker and orchestrate deployments using Kubernetes, managing pods, services, deployments, scaling, and application availability. Implement application logging, monitoring, and observability using Grafana, Splunk, and Dynatrace to track application performance, analyze logs, monitor infrastructure health, and troubleshoot production issues. Build and maintain CI/CD pipelines to automate application builds, testing, deployments, and releases across development, QA, staging, and production environments. Optimize Java application performance through code profiling, JVM tuning, memory management, multithreading, and database query optimization. Collaborate with DevOps, QA, architects, and business stakeholders in Agile/Scrum environments to deliver reliable software solutions and resolve technical issues. Implement application security best practices, including authentication, authorization, secure API development, secrets management, and AWS IAM-based access controls. Participate in production support, root-cause analysis, incident management, and performance tuning using centralized logging and monitoring tools such as Splunk, Grafana, and Dynatrace.