Senior Platform Software Engineer Java Fullstack

The successful candidate will have strong fundamentals in software engineering data structures and algorithms and experience designing secure scalable cloud-native applications. Exposure to AI/ML Retrieval-Augmented Generation (RAG) AI agents and enterprise AI platforms is highly desirable.

Required Qualifications

• Bachelors or Masters degree in Computer Science or a related field from a reputed university.

• 5 years of experience designing and developing scalable distributed enterprise applications.

• Strong expertise in Java J2EE Spring Boot microservices REST APIs and modern web technologies.

• Experience with JavaScript Oracle JET (or similar UI frameworks) Git Docker and CI/CD pipelines.

• Strong understanding of data structures algorithms design patterns and scalable system architecture.

• Experience building deploying and operating cloud-native applications on OCI AWS Azure or Google Cloud.

• Hands-on experience using AI-powered software development tools such as ChatGPT Codex or similar coding assistants to improve engineering productivity.

• Exposure to enterprise AI technologies including Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) vector databases AI agents prompt engineering and AI application integration is highly preferred.

• Strong analytical and problem-solving skills with the ability to design innovative scalable solutions.

• Excellent communication collaboration and technical leadership skills.

• Passion for continuous learning and adopting emerging AI technologies and engineering best practices.

Responsibilities

• Design develop and deliver highly scalable secure cloud-native enterprise applications using Java and modern full-stack technologies.
• Build AI-enabled enterprise capabilities by integrating Large Language Models (LLMs) AI services intelligent agents and enterprise knowledge retrieval into business applications.
• Design and implement RESTful APIs microservices and event-driven architectures following modern engineering best practices.
• Leverage AI-assisted development tools to improve code quality accelerate development automate testing documentation and code reviews.
• Evaluate prototype and implement emerging AI technologies to improve developer productivity and enhance customer experiences.
• Develop AI-powered features such as intelligent search conversational interfaces workflow automation recommendation engines and natural language interactions.
• Apply architecture patterns and engineering best practices to ensure scalability performance security reliability and maintainability.
• Participate in technical design reviews code reviews architecture discussions and mentoring of engineering teams.
• Support issue analysis debugging performance optimization and production incident resolution.
• Thrive in a fast-paced collaborative and globally distributed engineering environment while delivering high-quality outcomes.

Career Level - IC3