Top Remote Software Engineer Jobs in Ann Arbor, MI

The Senior SDET develops and maintains regression automation, performs manual and automated testing across smoke, integration, performance, and regression scenarios, and documents defects and test results. The role collaborates with product and customer-facing teams throughout the SDLC, contributes to planning and quality processes, maintains GitHub automation repositories, identifies quality risks, and participates in on-call support.

Build core banking activation experiences for administrators and customers by developing streamlined user flows, robust APIs, and third-party integrations. Design and implement scalable microservices using domain-driven design, emphasizing clean, tested, documented code, error handling, logging, and performance. Contribute to system architecture, advocate for technical decisions, review code, and provide technical guidance to teammates in an Agile Scrum environment.

Build core digital banking experiences for bank administrators and customers. Develop streamlined user flows, robust APIs, and third-party integrations such as Plaid and SendGrid. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Apply system design, domain-driven design, and microservice architecture while working in an Agile Scrum environment. Provide architectural guidance, technical recommendations, and code reviews to improve team output.

Leads modernization of General Motors’ embedded software build ecosystem by migrating Make- and shell-based workflows to Bazel. Designs reusable rules, toolchains, platforms, and repository standards; integrates build infrastructure with CI/CD, testing, releases, security, and observability; and improves reproducibility, performance, reliability, and developer productivity. The role also evaluates AI-assisted engineering workflows and mentors teams across the organization.

Lead development of scalable backend services and platform infrastructure for an AI agent platform. Responsibilities include architecture and code reviews, infrastructure automation, CI/CD, observability, reliability, distributed systems, ML/NLP workload support, and mentoring engineers. The role requires expertise in Java, Python, cloud environments, Docker, Kubernetes, infrastructure-as-code, monitoring tools, and data infrastructure.

Lead the technical direction, design, development, and operation of Airbnb’s large-scale Observability platform. Build distributed systems for metrics, logs, traces, querying, anomaly detection, and telemetry cost management. Scale high-throughput pipelines, improve reliability and performance, guide build-versus-buy decisions, mentor engineers, contribute to open source, and help teams self-serve production debugging while collaborating across infrastructure and product teams.

Build customer-facing AI products for fitness and wellness businesses, develop agentic workflows, modernize architecture, and improve infrastructure, CI, observability, and production reliability. Own features end to end, work across the TypeScript and JavaScript stack, ship iterative product improvements, and mentor teammates through code review and pairing. The role requires strong product judgment, autonomy, full-stack capability, and hands-on experience with AI tooling and production systems.

Principal Software Engineer responsible for hands-on development, architectural evolution, modernization, and resolution of complex technical problems across a mature education technology product. The role provides cross-team technical leadership, guides architecture and integrations, mentors senior engineers, and applies pragmatic AI-assisted development. Success involves improving system maintainability, enabling product evolution, surfacing technical risks, and strengthening organizational engineering capabilities.

Administer and engineer enterprise observability platforms spanning infrastructure, applications, cloud resources, and telemetry. Lead technical onboarding, monitoring design, alerting, dashboards, automation, integrations, troubleshooting, capacity planning, licensing optimization, upgrades, and migrations. Establish standards and documentation, collaborate with vendors and procurement, and mentor engineers. The role requires strong systems thinking, cloud and production support experience, scripting or infrastructure-as-code expertise, and the ability to resolve complex reliability and performance issues.

Co-own the architecture and long-term health of a Laravel platform, including its database, APIs, background jobs, integrations, CI/CD, observability, and security. Lead scaling initiatives, modernization decisions, reliability improvements, and agent-ready engineering practices. Set technical direction, review designs and code, mentor engineers, collaborate with product teams, and help prepare systems for growth and SOC 2 compliance.

Lead modernization of General Motors’ embedded-software build infrastructure by migrating legacy Make and shell workflows to Bazel. Design reusable rules, toolchains, platforms, and repository standards; integrate build systems with CI/CD, testing, release, security, and artifact workflows; and improve reproducibility, performance, reliability, and developer productivity. The role also involves mentoring engineers, guiding strategy, measuring migration outcomes, and evaluating AI-enabled engineering workflows.

Own and improve Glydways’ Bazel monorepo infrastructure across C++, Python, and Go. Responsibilities include implementing remote caching and remote build execution, optimizing build and test performance, maintaining toolchains and dependencies, supporting embedded cross-compilation, improving CI/CD workflows with AWS and Buildkite, developing developer automation, monitoring build health, and participating in on-call support.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Develop and maintain integrations across modern .NET services and legacy .NET Framework applications. Build REST APIs, event-driven services, shared libraries, and synchronous or asynchronous workflows. Own work through testing, deployment, production support, and on-call rotations. Contribute to API standards, platform architecture, documentation, code reviews, and onboarding. Use AI-assisted coding tools daily across development, testing, reviews, and documentation.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Lead architecture and development of significant backend platform features from concept through release. Design scalable distributed systems, write technical proposals, assess business impacts, and ensure dependable performance. Use AI coding assistants while validating code quality and safety, coach engineers, shape the technical roadmap, and collaborate with product and cross-functional teams. The role requires expert Node.js and TypeScript skills, experience with message queues, and ownership of substantial product areas.

Build and scale AI-native healthcare products through full-stack applications, backend services, data pipelines, and AI systems. Design, test, deploy, and operate production-ready software, run A/B tests, automate manual workflows, and collaborate with product, operations, and AI/ML teams. The role requires end-to-end ownership of scalable, secure, reliable systems and features, with a focus on performance, data integrity, clean code, and measurable business outcomes.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Investigates customer escalations, performs root-cause analysis across complex Java codebases, and delivers production-ready fixes. Uses AI-assisted tools for log analysis, defect diagnosis, code remediation, test generation, and validation. Communicates issue status, documents resolutions, maintains knowledge content, supports teammates, and contributes to product enhancements. The role includes periodic after-hours and weekend pager coverage.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Design, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.