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

• Bachelor's or Master's 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, Node.js, 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

Skills Required
Git, Docker, Spring Boot, Design Patterns, Microservices, Google Cloud, Rest Apis, Javascript, Algorithms, oci, Azure, Java, Node.js, Aws, J2ee, Data Structures