Description

Technical Leadership

• Lead full-stack or backend development initiatives using Java and modern frameworks (Spring Boot, Spring Cloud, etc.)
• Architect and deliver production-ready applications from concept to deployment
• Establish coding standards and best practices for AI-assisted development workflows
• Conduct code reviews and ensure adherence to quality standards, security practices, and performance requirements
• Mentor mid-level and junior developers on effective AI tool usage and software engineering principles

AI-Assisted Development

• Leverage AI tools (Claude, Gemini, Copilot, etc.) for accelerated development, code generation, refactoring, and testing
• Build complete features and modules using AI tools as primary development assistants
• Validate, optimize, and productionize AI-generated code
• Develop prompts and workflows that maximize AI tool effectiveness for complex development tasks
• Document and share successful AI-assisted development patterns with the team

Software Development

• Design, develop, and maintain RESTful APIs and microservices
• Implement secure, scalable database solutions (SQL and NoSQL)
• Build responsive front-end interfaces (React, Angular, or Vue) - for full-stack role
• Write comprehensive unit, integration, and end-to-end tests
• Participate in CI/CD pipeline design and deployment automation
• Troubleshoot and resolve production issues

Qualifications:
Experience

• 6+ years of professional software development experience
• 4+ years with Java and Spring ecosystem (Spring Boot, Spring MVC, Spring Data, Spring Security)
• 2+ years of hands-on experience using AI coding tools (Claude, Gemini, GitHub Copilot, Cursor, etc.) for production code development
• Proven track record of shipping end-to-end features or products built primarily with AI assistance
• Experience leading or mentoring development teams (for Tech Lead track)

Technical Skills

• Core Java: Java 11+, multithreading, collections, streams, design patterns
• Frameworks: Spring Boot, Spring Cloud, Hibernate/JPA
• Databases: PostgreSQL, MySQL, MongoDB, or similar
• APIs: RESTful services, GraphQL (preferred)
• Messaging: Kafka, RabbitMQ, or similar
• Cloud Platforms: AWS, Azure, or GCP
• Containerization: Docker, Kubernetes
• Version Control: Git, branching strategies, code review workflows
• Testing: JUnit, Mockito, TestContainers, integration testing
• Frontend (for full-stack): React, TypeScript

AI Tool Proficiency

• Demonstrated experience using AI tools for:
  • Writing production-ready code from specifications
  • Code refactoring and optimization
  • Test generation and coverage improvement
  • Debugging and troubleshooting
  • Technical documentation generation
  • System design and architecture planning
• Ability to evaluate and integrate AI-generated code safely
• Understanding of AI tool limitations and appropriate human oversight

Preferred Qualifications

• Experience with event-driven architecture and domain-driven design (DDD)
• Knowledge of observability tools (Prometheus, Grafana, ELK Stack, Datadog)
• Familiarity with infrastructure as code (Terraform, CloudFormation)
• Experience with GraphQL, gRPC, or WebSocket implementations
• Contributions to open-source projects
• Published content or talks on AI-assisted development
• Experience in agile/scrum environments
• Certification in cloud platforms (AWS, Azure, GCP)

Key Skills

Education

Bachelor's degree