Top Software Engineer Jobs in Detroit, MI

As a Software Engineer at OnePay, you will develop and implement features, build scalable products, and work closely with teams to enhance customer experiences.

Develop, integrate, and test spacecraft flight software across the full lifecycle. Implement and upgrade cFS-based applications, perform unit-to-platform verification in simulation and HIL/FlatSat environments, support integration with hardware and payloads, and participate in anomaly resolution, mission operations support, and proposal activities.

Build and operate Sourcegraph Cloud platform: develop inter-cloud connectivity, control plane orchestration, expose infrastructure APIs, debug and patch upstream IaC dependencies, ensure reliability and participate in on-call rotation to meet SLAs.

Develop and optimize distributed systems for syncing customer data, focus on scalability, reliability, and performance for global clients.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.

Develop and improve embedded graphics and compute drivers, customize products for embedded hardware and real-time operating systems, and profile and optimize drivers and applications. Write and review technical specifications while collaborating on reliable, high-quality safety-critical solutions. The role requires embedded software development, debugging, troubleshooting, and familiarity with graphics APIs, ARINC 653, and safety-critical development practices.

Design, architect, develop, test, and support scalable full-stack applications for a high-volume, multi-tenant data platform. Own features from design through delivery, contribute to technical strategy and roadmap development, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Apply cloud-native technologies and AI-assisted development practices while supporting near-real-time analytics and reliable production operations.

Build and operate Yahoo’s developer experience platform, including CI/CD infrastructure, artifact repositories, release pipelines, and ArgoCD GitOps deployments. Develop reusable golden-path workflows, AI-assisted automation, configuration validation, and platform tooling. Support pipeline troubleshooting, artifact management, runner optimization, observability, security practices, and developer adoption through migrations, documentation, office hours, and technical enablement.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Lead architecture and delivery across Rails backends and React frontends, build Node.js and NestJS platform integrations, establish testing and code-quality standards, mentor engineers, review code, and improve reliability, performance, and developer experience. The role requires technical ownership across multiple backend technologies and leadership in AI-assisted development practices.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design, build, and operate scalable, highly concurrent backend services in Go. Architect distributed, fault-tolerant systems, optimize performance and reliability, define APIs and service boundaries, improve observability and operational readiness, and collaborate cross-functionally to support mission-critical autonomous deployments.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Lead design and implementation of core platform infrastructure for an Agentic AI platform. Build high-performance Rust systems, support production deployments, collaborate with ML engineers, design scalable data architectures, troubleshoot performance and scalability issues, and cultivate a collaborative, inclusive engineering culture.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Design, implement, and support high-performance storage and query infrastructure handling billions of events. Independently scope and deliver complex projects, optimize query performance, improve reliability, participate in on-call rotations, define KPIs and SLOs, reduce operational toil, debug production issues, collaborate cross-functionally, and mentor engineers.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

The Staff SDET will design and implement automated test frameworks using TypeScript, collaborate with developers, and enhance testing processes within CI/CD pipelines.

Design, build, and optimize GraphQL APIs, gRPC services and SQL queries for a promotions engine. Own complex technical problems, improve production scalability and performance, set up DataDog monitoring, participate in on-call rotations, mentor engineers, and deliver end-to-end features in an agile environment.

Design, implement, and maintain scalable Java-based software solutions. Collaborate across the SDLC with stakeholders and development teams, integrate DevOps and CI/CD practices, support operational tasks, ensure security and performance, drive feature development, conduct code reviews, and stay current with emerging technologies.

Technical leader for Platform & Infrastructure building scalable, resilient cloud-native systems to support large AI workloads. Define architecture, mentor engineers, solve systemic infrastructure bottlenecks, design foundational platform services, and collaborate cross-functionally to ensure secure, high-performance operations.

Lead architecture and scaling of cloud-native infrastructure to support large AI workloads. Mentor engineers, decompose complex systems, design foundational platform services, and collaborate with product, research, and security teams to ensure secure, performant, and highly available GPU/ML infrastructure.

Implement EVM-compatible features, optimize gas usage, develop and test smart contracts, collaborate on Ethereum infrastructure, troubleshoot Ethereum issues, and stay current with Ethereum advancements.