Top Remote Software Engineer Jobs in Detroit, MI

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.

Build and scale global payments and treasury systems using resilient, event-driven microservices. Design client-facing APIs, distributed systems, financial ledgers, and payment integrations while ensuring scalability, reliability, and system integrity. Collaborate independently and cross-functionally to define and implement solutions, troubleshoot issues, and maintain clean, tested code. Work with cloud infrastructure, Kubernetes, messaging systems, relational databases, payment rails, reconciliation, and double-entry accounting.

Lead and grow an AI-first software development team focused on clinic activation and onboarding. The manager will remain hands-on through architecture reviews, pairing, code shipping, and technical direction. They will partner with product, design, and data to run weekly releases, instrumentation, and experiments, while shaping AI-driven onboarding and responsible AI adoption. The role also requires coaching developers, owning activation outcomes, and partnering with adjacent AI and product teams.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Lead the evolution of Seeq’s frontend infrastructure, including React systems, component libraries, state management, styling architecture, and reusable application patterns. Drive large-scale refactors, improve developer experience, ensure accessibility and performance, evaluate open-source tools, and establish technical standards adopted across teams. Collaborate with designers, product teams, and engineers through architecture reviews, documentation, code reviews, mentoring, and cross-team delivery.

Lead complex, cross-team software initiatives from design through rollout; architect backend services, improve reliability and observability, guide technical strategy, mentor engineers, and elevate engineering quality. The role emphasizes AI-assisted coding, agentic development workflows, automated guardrails, testing, incident response, and solving ambiguous technical problems across consumer applications and internal tools.

Build and operate scalable web applications and cloud services for secure, high-stakes digital assessments. Develop React, TypeScript, Node.js, and AWS features; create serverless and container-based systems; maintain infrastructure as code and CI/CD pipelines; write automated tests; troubleshoot production issues; and improve performance, reliability, and security. Collaborate in Agile teams, contribute to architecture and documentation, and mentor junior developers.

Participate in a mentored technical art project supporting AAA game development. Build and refine tools and scripts, troubleshoot pipelines and DCC-to-engine integration, optimize character assets, automate production workflows, document fixes, and collaborate with technical artists using Unreal Engine, Maya, and Python.