Meaningful work,
meaningful life

Job Summary

You will lead a team of Java developers to build a cloud native, GenAI based, learning ecosystem for a fortune 500 Automative OEM and it’s dealerships.

Job Description (Role & Responsibilities)

• Design and implement REST/API endpoints and backend services using Java and Spring Boot

• Integrate with several systems including Learning Record Store, GenAI based content generation, AI/ML personalization engines using REST APIs and other integration approaches

• Leverage AWS native code components such as CDKs and SDKs

• Ensure secure coding practices are followed and verified using tools

• Leverage AI Assistants in SDLC for productivity boost

• Collaborate with architects, frontend, and data engineers on contracts and data models

• Perform code reviews, refactoring, and continuous improvement of engineering practices

• Develop LLDs, technical documentation and diagrams

• Guide team members to help them improve

• Define and enforce coding standards, best practices and architectural guidance for own and team’s code

Must Haves

• 8+ years in software development with at least 5 years on AWS based distributed systems

• Strong hands on experience with Java, Spring Boot, Spring Cloud microservices

• Experience with event driven systems using Kafka or similar streaming platforms

• Hands on database design and development skills on PostgreSQL (Aurora/RDS, PostgreSQL)

• Experience with xAPI, SCORM, LRS, ADL TLA or learning analytics platforms

• In dept understanding of GenAI based architecture, RAG, Observability tooling, Langflow, Langchain and similar frameworks

Preferred

• Exposure to xAPI or LRS style event models and learning platforms

• Use of AI for SDLC and for Multi-modal content creation

• Exposure to Amazon Bedrock or other cloud AI/ML services.

• Prior experience with Automative industry in the learning management space

Good to Have

• Certification: AWS Certified Developer

• Knowledge of reactive programming (Project Reactor, WebFlux).

• Familiarity with message replay, exactly once semantics, and stream processing frameworks.

• Experience with using CI/CD pipelines to push application code