Experience
Requirements
Responsibilities & Context
Experience Key responsibilities
1.Design, develop, test and maintain backend services and web applications using Java, Spring Boot and Spring MVC.
2.Build scripts, data-processing jobs, integrations and utilities in Python.
3.Design and consume RESTful APIs; integrate with third-party and government systems.
4.Design database schemas and write efficient queries (PostgreSQL / MySQL / Oracle).
5.Take part in every stage of the SDLC: requirement analysis, estimation, design, coding, testing, deployment and maintenance.
6.Set up and maintain CI/CD pipelines (e.g. Jenkins, GitLab CI or GitHub Actions) for automated build, test and deployment.
7.Write unit and integration tests (JUnit, Mockito, PyTest) and fix defects reported by QA.
8.Use AI-assisted development tools (e.g. Claude, GitHub Copilot, Cursor, ChatGPT) to speed up coding, testing, documentation and debugging — and review AI output critically before merging.
9.Troubleshoot issues across application, server and network layers in development, staging and production.
10.Join code reviews, sprint planning, stand-ups and retrospectives; share knowledge openly with the team.
11.Write clear technical documentation: API specs, design notes and deployment guides.
12.Learn new frameworks, tools or domains quickly when a project needs them.
Required qualifications
Education
•B.Sc. in Computer Science & Engineering (CSE), Software Engineering, EEE or a related field from a recognised university.
•ISTQB Foundation Level certification is a strong plus.
Experience
•At least 3 years of hands-on software development experience.
•Proven work on production projects using Java, Spring Boot, Spring MVC and Python.
Technical skills (must have)
•Computer fundamentals: data structures, algorithms, OOP, operating systems, memory, processes and threads, concurrency.
•Networking fundamentals: TCP/IP, HTTP/HTTPS, DNS, ports, load balancing, firewalls, SSL/TLS, and basic network troubleshooting.
•Java 8+ (Java 17 preferred), Spring Boot, Spring MVC, Spring Data JPA / Hibernate, Spring Security.
•Python for scripting, automation, APIs or data processing (Flask / FastAPI / Django is a plus).
•Relational databases and SQL; basic knowledge of NoSQL (MongoDB, Redis).
•Git, branching strategies and pull-request workflow.
•SDLC models (Agile / Scrum, Waterfall) and where each fits.
•CI/CD concepts and at least one tool (Jenkins, GitLab CI, GitHub Actions); build tools Maven / Gradle.
•Linux command line and basic server administration.
•Practical use of AI coding assistants in daily work, with the judgement to verify, test and secure AI-generated code.