Java - Full Stack Engineer (with Gen AI Tooling experience)

Skills Required :

• Strong experience as a Full Stack Engineer building cloud native applications using Java, Spring Boot, and modern architecture
• Strong experience with AI-assisted developer tools such as GitLab Duo, GitHub Copilot, and Claude to enhance productivity, code quality, and development workflows
• Proficient in developing and consuming REST APIs, with hands on experience in CI/CD, Git, SonarQube, and Wiz
• Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) and scalable system design
• Build features across UI, APIs, and data layers using Java 17+, Spring Boot 3.x, Angular and React/Next.js, ensuring clean integration and adherence to standards
• Good knowledge of monitoring, logging, and troubleshooting tools (e.g., CloudWatch, CloudTrail).
• Ensure production ready, observable, and resilient releases, leveraging Kafka and API standards (OpenAPI/TypeSpec)
• Design, develop, test, and deliver end to end full stack solutions with strong focus on quality, performance, and maintainability
• Applying engineering best practices and maintain high code quality through reviews and continuous improvement
• Collaborate with Product Owners, BAs, and engineers to define requirements and assess feasibility
• Support sprint planning and estimation, and own delivery of committed work end to end
• Drive definition of done, including unit/integration testing (JUnit 5, Cucumber BDD) and strong nonfunctional quality standards.

Good to Have :

• Experience in financial services/technology
• Strong communication and stakeholder management
• Ability to lead and mentor teams
• Experience in undertaking spec driven development using AI Dev agents
• Knowledge of Python skills with experience in GenAI and agentic frameworks (LangChain, LangGraph, CrewAI, Langfuse)
• Good understanding of LLMs, AI Agents, NLP, and Conversational AI
• Proven expertise in prompt engineering and optimization.

Additional Information

• Design and deliver scalable, high-quality software solutions
• Collaborate across product, design, and engineering teams
• Promote code quality, reviews, and knowledge sharing
• Follow secure coding and testing best practices
• Apply observability practices (latency, cost, quality monitoring)
• Drive cybersecurity practices including risk assessment, controls, and awareness
• Manage incidents and adopt emerging security solutions