Junior/Associate Engineer

We are looking to Associate engineers to strengthen the Product, Engineering and Support function. The primary profile is Java full-stack engineering with fundamentals, DevOps awareness, interest in Agentic AI, and preferred exposure to mainframe or legacy modernization. Depending on business need, candidates should be ready to contribute across product brainstorming, design, engineering delivery and product support.

- For junior candidates must have attitude, learning speed and curiosity

- Candidates should be open to product engineering and product support responsibilities based on requirement

- New hires need to learn COBOL and mainframe concepts on the job

Junior / Associate Engineer

0-3 years | 2 positions

- Has strong programming and problem-solving fundamentals

- Shows a good foundation in Java and software development concepts

- Is curious, eager to learn and open to feedback

- Comfortable learning unfamiliar technologies

- Shows genuine interest in Agentic AI and modern engineering practices

- Learning ability, attitude and engineering aptitude matter more than experience with every tool

Common Technical Profile

Java / Full-Stack:

- Java, OOP, Spring Boot / Spring Batch, Java servlets, REST APIs, SQL, relational databases. Frontend exposure with React / TypeScript.

DevOps / Cloud:

- Git, CI/CD, Docker or containers, basic Kubernetes deployment

concepts, application/service ports, AWS or Azure, build and deployment pipelines, monitoring, troubleshooting, and code quality tools such as SonarQube.

Engineering Fundamentals:

- Strong data structures and algorithms (DSA) and system design.

- Engineering Quality Writes tests and carefully checks results. Comfortable with code review and a strict fix process. Pays attention to small details because much of the work involves matching mainframe output byte for byte.

Product Support/Troubleshooting:

- Able to investigate product issues, collect and analyze logs, debug Java applications, use JVM profilers when needed, and drive issues toward clear root cause and resolution.

Agentic AI:

- Exposure to Claude Code, GitHub Copilot, Cursor or similar tools.

Interest in AI agents, LLM APIs, tool calling or MCP is an advantage.

Mainframe/Modernization:

- Mainframe, COBOL or legacy modernization exposure is preferred.

Strong Java and software engineering fundamentals remain the primary requirement.