Job Description

Responsibilities:

Develop and maintain scalable and high-performance backend services using Java or Scala. Design and implement microservices-based architectures using the Spring Framework. Write efficient SQL queries and work with relational databases for large-scale applications. Collaborate with frontend developers and contribute to UI components using Angular or React. Work in Unix/Linux environments to manage deployment, scripting, and server-side configurations. Participate in the full software development lifecycle including design, development, testing, and deployment. Collaborate across teams, including data engineering, for cross-functional integration when required. Maintain high standards for code quality, testing, and performance optimization. Support flexible role shifts into backend or data engineering streams, based on project needS.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field, 7-9 years of professional software development experience. Strong proficiency in Java or Scala (mandatory). Proven experience with the Spring Framework and microservices architecture. Solid understanding of SQL and relational database systems. Experience working in Unix/Linux environments. Exposure to frontend development using Angular or React. Strong analytical and problem-solving abilities. Excellent communication skills and ability to work in cross-functional, distributed teams. Must be adaptable to fast-paced project shifts and technology realignment.

Nice to Have:

Experience working with distributed systems or data pipelines. Understanding of CI/CD practices and Agile methodologies. Knowledge of containerization tools such as Docker and orchestration with Kubernetes.
Important Note:


Candidates must have strong Java/Scala expertise. Python developers will not be considered for this role. Candidates with strong backend experience may be realigned into data engineering roles if required. * If required, must be able to work on weekend or public holidays for deployment to production server and cut over activities