Lead Java Developer

Megan Soft Inc

Livonia (MI)

On-site

USD 110,000 - 160,000

Full time

7 days ago

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Job summary

Megan Soft Inc is seeking a Senior Software Engineer who champions Lean and Agile practices and leverages AI to accelerate end-to-end full stack development. You will architect and implement across UI, APIs, services, and cloud infrastructure while integrating PLM and MCP systems.

You will lead design and implementation using Angular, React, Spring Boot, and Node.js on GCP, with a focus on scalable microservices, data modeling, and secure, robust software delivery.

Qualifications

10+ years of software engineering experience.
Experience delivering end-to-end full-stack solutions across UI, APIs, and data layers.
Strong knowledge of cloud platforms and modern DevOps practices.

Responsibilities

End-to-End Application Development: design, develop, test, deploy full stack apps spanning UI, APIs, services, and data layers.
AI-Accelerated SDLC: use AI tools to accelerate development, refactoring, debugging, and reviews.
Cloud-Native Engineering: build scalable solutions on GCP including Cloud Run, App Engine, GKE and BigQuery.
Frontend Development: build responsive UIs using Angular and state management.
Backend Development: develop APIs with Spring Boot and Node.js for scalability and security.
Data Modeling & Workflows: model BOMs and lifecycle data into usable data structures.
API Design & Microservices: design RESTful/GraphQL APIs for PLM, MCP, and internal systems.
MCP Server Integration: integrate with MCP servers for data retrieval and orchestration.
DevOps & CI/CD: deploy with Terraform, Tekton, and GitHub Actions.
Code Quality & Best Practices: promote automated testing, reviews, and secure coding.

Skills

GCP

Cloud Run

PostgreSQL

AIPGEE

GCP

Node.js

Angular

Spring Boot

REST APIs

React

Java

Microservices

Agile Software Development

Artificial Intelligence

BigQuery

Tools

AWS

Terraform

Job description

Only 10+ Years experience will be considered.

Position Description:

We are seeking an exceptionally skilled and forward-thinking Senior Software Engineer who embraces Lean, Agile practices and uses AI to accelerate delivery of innovative end-to-end full stack software solutions that integrate enterprise data platforms and PLM systems through MCP servers. As a key architect and implementer, you will work across the entire software stack from front-end UI to backend services to cloud infrastructure and integrating AI enabled data platforms while also bringing domain familiarity with PLM ecosystems and engineering data platforms.

Key Responsibilities

End-to-End Application Development: Design, develop, test, and deploy full stack applications spanning UI, APIs, services, and data layers, owning features from concept through production.
AI-Accelerated Software Development Across the SDLC: Use AI coding assistants and generative AI tools to accelerate software development, refactoring, debugging, documentation, and code reviews.
Cloud-Native Engineering: Architect and implement scalable, resilient solutions on GCP 3.0, leveraging GCP services such as Cloud Run, Cloud Functions, App Engine, GKE, Cloud Storage, Pub/Sub, Firestore, BigQuery, Cloud SQL, Secret Manager, Cloud Build, Artifact Registry, and Cloud Monitoring, as applicable.
Frontend Development: Build responsive, intuitive, and performant user interfaces using Angular architecture patterns, RxJS, NgRx or other state management approaches, and frontend performance optimization.
Backend Development: Develop robust backend services and APIs using Spring (Java) and Node.js, ensuring scalability, security, and maintainability.
Data Modeling & Workflows: Translate complex engineering data structures (BOMs, part/document lifecycle data) into usable application data models and workflows.
API Design & Microservices: Design and implement RESTful/GraphQL APIs and microservices that support integration across PLM, MCP, and internal systems.
MCP Server Integration: Develop and maintain integrations with MCP (Model Context Protocol) servers that house engineering data artifacts, ensuring reliable, secure, and performant data retrieval and orchestration.
DevOps & CI/CD: Deploy infrastructure components using Terraform, orchestrated via Tekton pipelines. Implement CI/CD pipelines using Tekton and Github Actions.
Code Quality & Best Practices: Champion clean code, automated testing, code reviews, and secure coding practices across the team.
Cross-Functional Collaboration: Work closely with product managers, architects, and engineering data stakeholders to translate business requirements into technical solutions.
Troubleshooting & Support: Diagnose and resolve complex integration and performance issues across distributed systems.
Mentorship: Provide technical guidance and mentorship to junior/mid-level engineers.