Top Remote Software Engineer Jobs in Detroit, MI

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design and deliver Android system applications for Toast POS devices, including device policy enforcement, setup, firmware and app updates, background services, and fleet deployment. Lead technical design, cross-functional planning, Android and hardware upgrades, automated testing, production issue investigations, and staged rollouts. Mentor engineers and collaborate with product, hardware, QA, and software teams to build secure, reliable device-management systems.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.