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Lead Full Stack Software Engineer

EPITEC

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #102743
Lead Java Full Stack Engineer (GCP / Cloud Platform)

Overview


Senior Full Stack Software Engineer to lead the design, development, and modernization of a large-scale Risk Platform on Google Cloud Platform (GCP). This role blends hands-on engineering with technical leadership, mentoring, and close collaboration with architects and product partners.

Details
  • Location: Dearborn, MI
  • Schedule : Hybrid - 4 days/week onsite
  • Shift Time: Standard business hours
Responsibilities

  • Lead end-to-end design and development of a complex Risk Platform on Zero Trust GCP
  • Design, develop, and enhance backend APIs and services using Java and Spring Boot
  • Build and optimize frontend experiences using React, TypeScript, HTML, and CSS
  • Support platform scalability, performance, and maintainability through cloud best practices
  • Develop and maintain CI/CD pipelines supporting continuous integration and deployment
  • Improve user experience through analytics integration, localization, and reusable components
  • Lead code reviews, mentor junior engineers, and enforce engineering best practices
  • Collaborate with product owners, architects, and cross-functional Agile teams
Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
  • 10+ years of professional software development experience with strong Java focus
  • Proficiency with Java 8+ , Spring Boot , Spring MVC , Spring Security
  • Strong full-stack experience (Java backend + React/TypeScript frontend)
  • Hands-on experience with Google Cloud Platform (Cloud Run, Cloud SQL, PostgreSQL, Pub/Sub, BigQuery)
  • Strong SQL skills; experience working with legacy databases such as DB2
  • Experience with REST APIs, Git, and Agile/Scrum environments
  • Excellent problem-solving and communication skills
  • Security/background check required
Preferred Qualifications

  • Python development experience (agent exposure preferred)
  • Experience with AI / Machine Learning
  • Master's degree in a related field
  • Experience with Docker, Kubernetes , and cloud CI/CD pipelines
  • Familiarity with tools such as Jenkins, Cloud Build, Terraform, SonarQube, Checkmarx
  • Messaging systems experience (Kafka, Pub/Sub, RabbitMQ)
  • Strong understanding of DevOps and secure cloud architecture



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Vacancy posted 1 day ago
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