Java Full Stack Engineer

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement.Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.About the RoleWe are seeking a dynamic and skilled Java Full Stack Developer to design, build, and deliver scalable, high-performance software solutions. The ideal candidate will have strong backend development experience with Java , hands‐on frontend expertise using React , and practical knowledge of AWS and Kafka .

Key Responsibilities

Design, develop, and maintain end-to-end web applications using Java (Spring Boot) and React.

Build and maintain scalable APIs and microservices that leverage cloud‐based environments on AWS.

Implement data processing pipelines using Apache Spark for performance optimization and analytics.

Collaborate with cross‐functional teams including architects, QA, product owners, and DevOps engineers to deliver high‐quality solutions.

Participate in design reviews, code reviews, and Agile ceremonies to ensure best practices and continuous improvement.

Optimize code, troubleshoot production issues, and ensure application reliability and scalability.

Required Skills and Experience

Proficiency in Java 8+ , Spring Boot , and RESTful API development.

Experience deploying applications to AWS (EC2, Lambda, S3, RDS, or similar).

Hands‐on experience using Apache Spark for data processing or analytics tasks.

Solid understanding of microservices architecture and CI/CD pipelines .

Experience with Git , Jenkins , Docker , or Kubernetes is a plus.

Strong problem‐solving skills, attention to detail, and the ability to work in an Agile environment.

Nice‐to‐Have Skills

Experience with NoSQL databases (e.g., MongoDB, DynamoDB).

Familiarity with serverless architecture or data streaming tools such as Kafka.

Exposure to DevOps and cloud infrastructure automation .