Java Full Stack Engineer

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, Dev Ops, 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 Role

We 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
.

• 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 Dev Ops 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.

• 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.

• Experience with No
  
  SQL databases (e.g., Mongo
  
  DB, Dynamo
  
  DB).
• Familiarity with serverless architecture or data streaming tools such as Kafka.
• Exposure to Dev Ops and cloud infrastructure automation
  .