Backend Engineer ( Core Java, 3 Months Contract )
Overview
You own backend feature delivery on a 3-month contract in Chennai, steering work from system design conversations to code that reaches production. The core language is Core Java, and on any given day you touch microservices, database access, and JDBC integration paths. You sit with a group that builds data intelligence software for enterprises, where peers use Claude, GitHub Copilot, and Cursor as standard kit. Backend roles usually let you ignore AI tools; this one expects you to use them for scaffolding, writing tests, reviewing code, and debugging. What makes it different is the twin demand: ship at a faster cadence and still catch the errors in AI-written code before anyone else does.
What You'll Do6
- 1Design and code features whose complexity sits above a single straightforward change, carrying them to completion without close oversight.
- 2Contribute ideas to system design reviews and help steer architecture decisions with reasoned trade-offs.
- 3Use Claude, GitHub Copilot, and Cursor for the main parts of engineering work: creating feature scaffolds, writing tests, reviewing code, and debugging.
- 4Turn AI output into momentum by removing repetitive boilerplate, testing alternatives faster, and moving production-ready code through the pipeline at a higher pace.
- 5Judge AI-generated code for logic mistakes, security flaws, and consistency with team standards before merging anything.
- 6Debug production issues until the root cause is clear, then propose fixes backed by evidence.
Requirements9
- 12-6 years in backend engineering roles.
- 2Object-oriented skills in Python or Java, with Java as the core language you use most days.
- 3Daily, hands-on use of AI coding assistants such as Claude, GitHub Copilot, and Cursor to generate and review code.
- 4Skill in writing focused prompts that return production-quality code, tests, docs, and design proposals.
- 5Current depth in Core Java and solid backend engineering fundamentals with microservices on scalable systems.
- 6Production experience with database applications and JDBC integration.
- 7A habit of beginning with AI drafts and then refining them for correctness, security, and maintainability.
- 8Ability to break larger tickets into smaller pieces where AI contributions stay manageable.
- 9A clear sense of the limits of AI output, especially where security gaps and technical debt hide.
Who Should Apply
Engineers who already pair-program with an AI assistant every day will feel at home here. You bring a Java-centric backend background, can walk an interviewer through microservices and JDBC production work, and you view AI output as raw material that still needs expert judgment. The role is a poor fit for people who prefer to hand-write every file or who have never let an AI tool edit their code. In this kind of hiring process, candidates fail when they cannot show a concrete example of AI-assisted development or cannot name the security flaws they caught in AI-generated code.
Salary Insight
Open to Discussion
Location
Required Skills
Application Tip
Build a one-page artifact before you apply: pick a recent backend pull request where AI helped you, include the exact prompt you used, then write concise notes on what you changed in the AI output and why. This gives you concrete proof of the AI review loop the role demands.
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