Top Software Engineer Jobs in Detroit, MI

Builds and maintains custom software applications, performing design, coding, debugging, testing, troubleshooting, and technical consultation. Works autonomously on advanced projects, may lead work groups, and follows coding standards and technical designs. The role supports web-based and client-server systems and requires strong collaboration and communication. Up to 15% travel is expected.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Lead software engineering teams through Agile development, including architecture, design, coding, testing, DevOps, delivery, and mentoring. Build scalable Java applications and services using SOA, APIs, microservices, containerized deployments, enterprise messaging, relational databases, and modern Spring frameworks. Establish engineering standards for security, automation, testing, and maintainable code while partnering with product owners to deliver customer-focused solutions.

Develop and maintain full-stack software using C#, .NET, Angular, TypeScript, SQL, and PostgreSQL. Design REST APIs and database solutions, implement testing strategies, validate statistical results, apply secure coding practices, resolve vulnerabilities, and support releases and maintenance. Collaborate with product management and quality engineering teams, participate in code reviews, contribute to technical designs, and mentor junior team members.

Develop and implement Salesforce applications using Apex, Lightning Components, and Visualforce. Translate business requirements into scalable CRM solutions, integrations, and releases. Troubleshoot, test, and maintain application security. Create and support Tableau dashboards, reports, visualizations, and server or cloud deployments. Collaborate with business analysts, administrators, and technical teams while assisting with development estimates and schedules.

Develops and validates autonomous driving software for perception, localization, planning, prediction, or control. Responsibilities include implementing production software, analyzing driving data, building ML training pipelines, evaluating systems through simulation, researching autonomous driving algorithms, and supporting vehicle tests. The role collaborates with Isuzu teams, external partners, and research institutions, with potential focus on embedded deployment, machine learning, sensor fusion, vehicle dynamics, or real-time control.

Develop and configure HP Exstream applications using Design Manager. Responsibilities include mapping structured, XML, copybook, and layout data; creating variables, pages, messages, overflow pages, triggering logic, frames, and tables; and packaging, testing, and debugging applications. The developer will also support reusable objects and future dynamic content imports.

Leads architecture, development, and delivery of scalable healthcare applications using .NET, Azure, Kubernetes, SQL Server, and modern web technologies. Provides technical leadership, mentors engineers, conducts code reviews, manages production issues, optimizes database performance, and guides sprint execution across multiple initiatives.

Design, develop, and enhance software applications, integrations, and business systems. Support architecture design, cloud-native development, CI/CD pipelines, troubleshooting, performance monitoring, test automation, secure coding, and data-flow analysis. Collaborate with cross-functional teams, business stakeholders, QA, and senior engineers in an agile environment. Participate in code reviews, process improvements, documentation, and mentorship while contributing to scalable and maintainable solutions.

Develops and validates autonomous-driving software across perception, localization, planning, prediction, or control. Responsibilities include software implementation, ML data pipelines, simulation and emulation evaluation, driving-log analysis, partner collaboration, algorithm research, and vehicle testing. The role may involve deploying ML models on embedded automotive hardware, optimizing GPU performance, and conducting real-time, closed-loop validation.