Senior Java Technical Lead - RESTful API, Spring Boot (IN)

Job Description

Designing, developing, and maintaining high-performance, scalable microservices using Java 17 and Spring Boot framework

Building reactive and non-blocking applications leveraging Spring WebFlux to handle high-concurrency workloads efficiently

Developing and consuming RESTful APIs following industry best practices and ensuring proper documentation

Implementing event-driven architecture using IBM MQ and Apache Kafka for seamless asynchronous communication between services

Collaborating with cross-functional teams including front-end developers, architects, and product owners to deliver end-to-end solutions

Writing clean, maintainable, and well-documented code adhering to coding standards and best practices. Participating in code reviews, providing constructive feedback, and ensuring code quality across the team

Troubleshooting production issues, performing root cause analysis, and implementing effective fixes

Contributing to continuous improvement initiatives by identifying opportunities for optimization and automation

Skill Proficiency Expected (Mandatory)

Java 17 - Expert-level understanding of Java 17 features including records, sealed classes, pattern matching, and enhanced switch expressions

Spring Boot - Strong hands-on experience in building production-grade applications using Spring Boot

Spring WebFlux - Proficiency in developing reactive, non-blocking applications using Spring WebFlux and Project Reactor

REST APIs - Expertise in designing, developing, and securing RESTful APIs with proper versioning and error handling

Microservices - Solid experience in microservices architecture including service discovery, API gateway, circuit breakers, and distributed tracing

IBM MQ - Hands-on experience with IBM MQ for enterprise messaging and integration

Apache Kafka - Strong knowledge of Kafka for building event-driven systems, including producers, consumers, and stream processing

Skill Proficiency Expected (Good To Have)

MongoDB - Experience with MongoDB for NoSQL database design, queries, and aggregation pipelines

AWS Cloud - Familiarity with AWS services such as EC2, S3, Lambda, ECS, and RDS

OpenShift - Experience deploying and managing applications on OpenShift or similar container platforms

Kubernetes - Knowledge of Kubernetes for container orchestration, deployments, and scaling

Helm - Experience with Helm charts for Kubernetes application packaging and deployment

Harness - Familiarity with Harness for continuous delivery and deployment automation