Software Engineer

As a Full Stack Software Engineer specializing in Java, you will play a key role in the design, development, testing, and deployment of enterprise-grade applications. You will work closely with product managers, UX designers, and fellow engineers to translate business requirements into robust technical solutions. This role requires strong expertise in Java-based back-end frameworks (such as Spring Boot) as well as modern front-end technologies (such as React). Beyond traditional full-stack development, you will help drive the integration of Agentic AI into the SDLC — building or leveraging AI agents that assist with code generation, testing, code review, documentation, and CI/CD automation. You will work with emerging frameworks such as MCP (Model Context Protocol) servers and Google's Agent Development Kit (ADK) (or equivalent agent orchestration frameworks) to connect LLM-based agents to internal tools, APIs, and data sources securely. This is an excellent opportunity for someone who enjoys working across the full technology stack, has an appetite for AI-augmented engineering practices, and wants to make a tangible impact on both product development and internal developer productivity.

Design, develop, and maintain full-stack web applications using Java (Spring Boot/Spring MVC) and modern JavaScript frameworks (React/Angular)Design, build, and maintain Micro Frontend (MFE) architecture — including module federation, independent deployment pipelines, and shared component/design systems across multiple teamsIntegrate and orchestrate multiple micro frontends into a cohesive shell/host application, ensuring consistent UX, routing, and state management across modulesBuild and consume RESTful APIs and microservicesWrite clean, efficient, well-tested, and maintainable codeCollaborate with cross-functional teams (Product, UX, QA, DevOps) in an Agile/Scrum environmentParticipate in architecture discussions and contribute to technical design decisions, including frontend decomposition strategy (MFE boundaries, ownership models)Perform code reviews and mentor junior engineersTroubleshoot, debug, and optimize application performance (including cross-MFE performance and bundle size optimization)Implement and maintain CI/CD pipelines for automated build, test, and independent deployment of micro frontendsEnsure application security, scalability, and reliabilityWork with relational databases for data modeling and query optimizationDeploy and manage applications in GCP cloud environments Design and implement Agentic AI workflows within the SDLC — e.g., AI agents for automated code review, test generation, ticket triage, and documentationBuild, configure, and maintain MCP (Model Context Protocol) servers to expose internal APIs, databases, and tools securely to LLM/agent-based systemsDevelop and orchestrate AI agents using ADK (Agent Development Kit) or comparable agent frameworks (e.g., LangGraph, AutoGen, Semantic Kernel) for multi-step, tool-using workflowsIntegrate agentic AI capabilities into existing CI/CD pipelines to accelerate development, testing, and release cyclesEvaluate, prototype, and pilot emerging agentic AI tools/frameworks and recommend adoption where they improve engineering velocity or code qualityEnsure governance, security, and observability practices are applied to AI agent integrations (e.g., permissions, auditability, guardrails)Stay current with emerging technologies and recommend improvementsBachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)2+ years of professional experience in full stack software developmentStrong proficiency in Java and frameworks such as Spring Boot / Spring MVC / HibernateSolid experience with front-end technologies: JavaScript/TypeScript, and a modern framework (React)Experience building and consuming RESTful APIs / microservicesProficiency with relational databases (PostgreSQL)Experience with version control (Git) and CI/CD tools ( GitHub Actions)Familiarity with Micro Frontend (MFE) concepts (e.g., Webpack Module Federation, Single-SPA, Nx monorepo, or native federation) and modular UI designStrong problem-solving skills and ability to work both independently and in a teamHands-on exposure to LLM-based tools or agentic AI concepts (e.g., using AI coding assistants, prompt engineering, or building simple agent workflows)

Good To Have

Experience with GCPcloud platforms Knowledge of containerization toolsExposure to automated testing frameworks Understanding of security best practices (OAuth2, JWT)Prior experience in automotive, manufacturing, or enterprise-scale systemsRelevant certifications (Java, GCP certifications)