Top Hybrid Software Engineer Jobs in Detroit, MI

The role involves designing and implementing front-end solutions using Typescript and React, focusing on UI/UX development, code quality, and collaborative reviews.

As a Full Stack Developer, you'll design, maintain, and improve applications, collaborating with stakeholders, managing deployments, and producing high-quality code.

Lead project management and delivery of FEA models for vehicle programs, integrating AI/ML applications to enhance modeling efficiency and quality, while collaborating with cross-functional teams.

As a Senior Software Engineer, oversee the development of enterprise applications, providing technical guidance and ensuring quality through automated testing and CI/CD practices.

Lead the design and development of software systems, mentor junior engineers, ensure high-quality code, and collaborate with teams on business applications.

The Software or Computer Engineering Co-op will engage in systems integration, development of documentation, troubleshooting systems, and analyzing design specifications to support modern combat vehicles.

Lead the Salesforce development team to design and implement customized solutions, oversee project execution, mentor junior developers, and ensure code quality.

The Solution Architect will lead deployments of the Dynatrace platform, address performance issues, and contribute to solution architecture and implementation for clients, while collaborating with engineering teams.

As Principal Software Engineer at Gusto, you'll architect scalable payroll systems, lead cross-functional projects, mentor engineers, and drive product strategy.

Design, develop, and maintain software modules for Android devices, focusing on communication with accessories and decision-making for solution strategies.

The Specialty Solutions Engineer will design and architect solutions focused on Microsoft applications, support sales teams, and mentor entry-level employees while traveling up to 20%.

The Industry 4.0 Engineer designs and implements IoT and automation solutions to optimize manufacturing. Responsibilities include data analytics, process analysis, and team training.