About this role
Position Summary
We are seeking an experienced Java Full Stack Software Engineer to design, develop, and support secure, scalable enterprise applications.
The ideal candidate should have strong Java backend development skills, modern frontend engineering experience using React or Angular, and hands-on AWS cloud experience. The role requires an engineer comfortable working across the application stack, including user interfaces, REST APIs, databases, containerized services, and production deployments. The engineer will contribute to solutions involving document management, workflow automation, enterprise integrations, reporting, and AI-enabled business capabilities.
- Location: Farmington Hills, MI (Onsite – 4 Days per Week) Experience: 8+ Years Business Area: Wealth & Asset Management Work Arrangement: Onsite – Local candidates strongly preferred Key Responsibilities Full Stack Application Development Design, develop, and maintain responsive web applications using React or Angular, TypeScript, JavaScript, HTML, and CSS.
- Develop scalable backend services and REST APIs using Java, with additional experience in Node.js and Python.
- Implement reusable application components and maintainable software architectures.
- Develop integrations connecting frontend applications, backend services, databases, and enterprise platforms.
- 2. AWS Cloud Engineering Develop and support cloud-native applications hosted on AWS.
- Package applications using Docker and deploy containerized workloads through Amazon ECS/Fargate.
- Integrate applications with Amazon S3 and Amazon RDS/PostgreSQL.
- Diagnose deployment, configuration, performance, and production reliability issues.
- Collaborate with DevOps teams to support secure, automated application delivery.
- 3. Security and Enterprise Integration Implement authentication and authorization using OAuth 2.0 and OpenID Connect.
- Apply secure coding practices, input validation, encryption, and appropriate access controls.
- Build reliable REST APIs and service-to-service integrations.
- Support secure document ingestion, storage, search, review, reporting, and workflow applications.
- 4. AI and Data Integration Integrate enterprise applications with AI-enabled services and data platforms.
- Develop application capabilities supporting document processing, workflow execution, and intelligent search.
- Collaborate with AI engineers, data engineers, and enterprise architects to deliver integrated solutions.
- 5. Quality and Operational Excellence Develop and maintain unit, integration, and automated tests.
- Participate in peer code reviews and establish reusable development patterns.
- Troubleshoot application defects, API integration problems, and production issues.
- Maintain technical documentation and contribute to continuous engineering improvements.