Sr. Java Full Stack Developer with AI/ ML

TechDigital Group; Dearborn (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading technology company in Dearborn, Michigan, is seeking an experienced software developer proficient in Java and Spring Boot. The position involves designing scalable applications, implementing microservices, and deploying solutions on Google Cloud Platform. Candidates should be familiar with CI/CD processes, Kafka for messaging, and should ideally have experience in machine learning. Collaboration with stakeholders and leading junior developers is also essential. This role offers an opportunity to drive best practices in a fast-paced environment.

Responsibilities

• Architect, design, and develop scalable applications using Java and Spring Boot.
• Implement microservices architecture ensuring modularity and maintainability.
• Design and implement asynchronous communication using Kafka.
• Build and deploy applications on Google Cloud Platform or other environments.
• Set up and maintain CI/CD pipelines using tools like Jenkins or GitHub Actions.
• Conduct performance tuning for high-traffic applications.
• Collaborate with data science teams to integrate ML models into applications.
• Lead technical discussions and provide guidance to junior developers.
• Work closely with product owners and QA teams to deliver high-quality solutions.

Skills

Java

Spring Boot

REST APIs

Microservices

Kafka

Angular/React

GCP

AWS/Azure

Python

CI/CD

Docker

Kubernetes

Job description

Required Skills

• Technical: Java, Spring Boot, REST APIs, Microservices, Kafka, Angular/React
• Cloud: GCP (preferred) or AWS/Azure experience
• Python for AI/ML
• DevOps: CI/CD pipelines, Docker, Kubernetes.

Core Responsibilities

1. Application Design & Development
   • Architect, design, and develop scalable, secure, and high-performing applications using Java, Spring Boot, and RESTful APIs.
   • Implement microservices architecture ensuring modularity and maintainability.
   • Develop front-end components (React/Angular or similar) integrated with backend services.
2. Integration & Messaging
   • Design and implement asynchronous communication using Kafka or other messaging tools.
   • Ensure reliable message delivery and fault-tolerant event-driven systems.
3. Cloud Deployment
   • Build and deploy applications on Google Cloud Platform (GCP) or other cloud environments.
   • Utilize cloud-native services (Pub/Sub, Cloud Functions, Kubernetes, etc.) for scalability and resilience.
4. CI/CD & DevOps
   • Set up and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI.
   • Automate build, test, and deployment processes for faster delivery.
5. Performance & Security
   • Conduct performance tuning and optimization for high-traffic applications.
   • Implement security best practices (OAuth2, JWT, encryption, etc.) across services.
6. Machine Learning / Statistical Analysis (Good to Have)
   • Collaborate with data science teams to integrate ML models into applications.
   • Use Python for data processing, ML pipelines, or predictive analytics when required.
7. Leadership & Mentorship
   • Lead technical discussions, code reviews, and provide guidance to junior developers.
   • Drive best practices in coding standards, architecture, and agile methodologies.
8. Stakeholder Collaboration
   • Work closely with product owners, architects, and QA teams to deliver high-quality solutions.
   • Translate business requirements into technical specifications.