Job Description :

Role & Responsibilities :

- Design, develop, test, deploy, and support enterprise-grade software applications using Java 8+, Spring Boot, REST APIs, Python, and microservices.

- Participate in the complete SDLC, including requirements analysis, application design, development, testing, deployment, production support, and continuous improvement.

- Develop scalable and resilient applications with strong focus on performance, security, reliability, and operational stability.

- Design and implement RESTful APIs, microservices, database solutions, and application components for large-scale enterprise environments.

- Work with SQL, stored procedures, views, and query optimization to build and maintain reliable data-driven applications.

- Implement and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent.

- Leverage enterprise-authorized AI development tools and frameworks such as GitHub Copilot, Cursor AI, Claude Code, LangChain, Spring AI, or equivalent to improve coding, testing, troubleshooting, and documentation.

- Critically review and validate AI-generated code and outputs for correctness, performance, security, maintainability, and production readiness.

- Follow responsible AI practices, ensuring appropriate handling of sensitive enterprise data, security, privacy, and AI-generated outputs.

- Collaborate with cross-functional teams, architects, developers, testers, and business stakeholders in an Agile environment.

- Contribute to technical design, code reviews, troubleshooting, production support, and continuous engineering improvements.

- Support applications operating in large-scale enterprise and highly regulated environments, with preference for Payments/CIB platforms.

Preferred Candidate Profile :

- 3+ years of hands-on software engineering experience in a large corporate/enterprise environment.

- Strong production experience with Java 8+, Spring Boot, REST APIs, and microservices.

- Minimum 2 years of production-grade Python development with demonstrated project-level usage.

- Strong knowledge of SQL, stored procedures, views, database design, and query optimization.

- Hands-on experience with system design, application development, testing, CI/CD, resiliency, security, and production support.

- Proven professional experience using AI-assisted software development tools, such as GitHub Copilot, Cursor AI, Claude Code, Spring AI, LangChain, or equivalent.

- Ability to evaluate, validate, refine, and secure AI-generated code and solutions rather than relying on AI output without review.

- Experience with Jenkins, GitHub Actions, GitLab CI, or equivalent CI/CD technologies.

- Experience working in enterprise-scale, regulated, or highly complex technology environments.

- Payments, banking, CIB, financial services, or other regulated-domain experience is highly preferred.

- Exposure to AWS, Azure, GCP, or PCF is preferred.

- Experience with React or Angular is an added advantage.

- Bachelor's/Master's degree in Computer Science, Information Technology, or an equivalent engineering discipline, with required formal software-engineering training/certification where applicable.