Lead Java Developer

GTSS Inc

Austin, TX, United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Clean Code Principles Java (Programming Language) .NET Framework Artificial Intelligence Code Coverage Code Generation Code Review Databases Continuous Integration Data Structures Cursor (Graphical User Interface Elements) Software Debugging

+12 more

Programming Tools Object-Oriented Software Development Systems Development Life Cycle Regression Testing Software Engineering GitHub Copilot Concurrency Prompt Engineering Technical Debt Generative AI Information Technology Code Restructuring

Job description

Implement AI-Augmented SDLC (Code Generation) for full-stack development
Design, build, test, and maintain full-stack applications using AI assisted SDLC
Generate clean, scalable, and maintainable code following best practices using AI assisted tools and agents
Utilize GenAI tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate code generation, testing debugging, and documentation
Define clear prompts, task specifications, and acceptance criteria to effectively guide AI tools and agents for code generation
Take full ownership of all code changes, including AI-generated code, ensuring proper review, testing, and validation prior to production release
Apply spec-driven development practices to structure and streamline implementation
Design and develop AI agents, including workflows, tool integrations, and orchestration logic
Review and validate AI-generated outputs for correctness, security, and performance
Apply sound engineering judgment to accept, refine, or reject AI-generated solutions
Develop and enhance unit, integration, and regression tests using AI-assisted tools
Ensure sufficient test coverage before deployment
Identify and address performance, reliability, and security issues early in the lifecycle
Refactor and modernize existing applications using AI-assisted approaches to improve maintainability and performance
Identify technical debt and drive remediation using AI-enabled strategies
Participate in architecture discussions, design reviews, and code reviews
Contribute to prompt engineering standards and AI development best practices
Share knowledge and continuously improve AI-enabled engineering processes across the team

Requirements

We are seeking experienced Software Engineers (Java or .NET) to join a forward-looking engineering team focused on AI-augmented SDLC. In this role, you will utilize Generative AI tools across the entire software development lifecycle from design and coding to testing and documentation while maintaining high standards of quality, security, and maintainability. This position is ideal for engineers who are adaptable, detail-oriented, and passionate about working at the intersection of modern software engineering and AI., * 8+ years of experience in software engineering with proficiency in Java or .NET

Strong experience with AI augmented SDLC and practices
Hands-on experience with GenAI development tools (e.g., GitHub Copilot, Cursor, or similar)
Ability to review and validate AI-generated code for quality, security, and performance
Understanding of agentic workflows, AI-assisted development, and spec-driven code development
Experience with prompt engineering and structured AI interactions
Strong foundation in computer science fundamentals (data structures, algorithms, system design, OOP, databases, networking, concurrency, and CI/CD)
Bachelor s degree in Computer Science or related field (or equivalent experience)