Responsibilities :
Design, develop, and modernize enterprise applications using Java, Spring Boot, and Angular. Build scalable microservices, REST APIs, and event-driven solutions using Kafka. Integrate AI/GenAI capabilities into business applications. Collaborate with architects, product owners, and stakeholders to deliver technical solutions. Lead design reviews, code reviews, and technical discussions. Implement automated testing using Playwright and other testing frameworks. Ensure application performance, security, scalability, and reliability. Mentor team members and promote engineering best practices. Participate in Agile/Scrum ceremonies and continuous improvement initiatives.
Additional Responsibilities:
Nice to Have
AI, Cloud, or Kubernetes certifications.
Experience with AI-assisted software development practices.
Experience leading large-scale digital transformation or modernization programs.
Strong mentoring, leadership, and stakeholder management capabilities.
Experience managing globally distributed teams and customer-facing engagements.
Technical and Professional Requirements:
Technical Expertise 9-15 years of software development experience. Strong hands-on experience in Java (8/11/17+), Spring Boot, Spring Security, Microservices, Angular, TypeScript, REST APIs, Kafka, SQL/NoSQL databases, CI/CD, Docker, Kubernetes, and Agile delivery. Experience building scalable, secure, cloud-native enterprise applications. AI / GenAI Requirements Understanding of AI/ML and Generative AI concepts. Experience or exposure to OpenAI, Azure OpenAI, LangChain, RAG, Prompt Engineering, Vector Databases, Copilot, Gemini, or similar AI platforms. Ability to identify and implement AI-driven business solutions. Automation & Testing Skills Knowledge of test automation frameworks and quality engineering practices. Hands-on experience or exposure to Playwright for UI and end-to-end testing. Experience with API testing tools such as Postman or REST Assured. Ability to integrate automated testing within CI/CD pipelines.
