- Java Full Stack Engineer:

We are looking to hire engineers to strengthen the Product, Engineering and Support function. The primary profile is Java full-stack engineering with strong 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.
- Candidates should do independent delivery under practical timelines
- 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
- Mainframe or legacy modernization exposure is preferred

Mid-Level Java Full-Stack Engineer

3-6 years | 2 positions

- Independently understands requirements and implements assigned features
- Works effectively under tight timelines and delivery commitments
- Debugs and troubleshoots issues across the application stack
- Can collect logs and support root-cause analysis for product issues
- Writes maintainable production-quality code
- Good DSA and system design skills are preferred
- Understands basic deployment workflows, Kubernetes ports and CI/CD pipelines
- Learns and adopts Agentic AI and modernization technologies quickly

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.
- Preferred for mid-level, mandatory for senior. Experience with parsers, interpreters, compilers or data-format work is a plus.

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 transparent 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.

📌 Java Full Stack Engineer (Bengaluru)
🏢 Nexiotech
📍 Bengaluru