Top Remote Software Engineer Jobs in Ann Arbor, MI

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

As a Senior Software Engineer, you will lead full stack projects, design scalable systems, mentor engineers, and ensure high-quality code delivery while driving team alignment and managing processes.

Design, develop, and maintain Salesforce solutions including LWC/LWR UI, legacy Aura support, AI features (Einstein/Agentforce), event-driven integrations, Copado CI/CD, advanced Flows, and data/backup management while providing technical support and stakeholder documentation.

Design and maintain cross-chain integrations, build transaction creation/signing and status-tracking flows, integrate liquidity/exchange/bridge providers, improve route safety and execution reliability, and help set architecture and engineering standards with product and platform teams.

Design, develop, and maintain scalable web and desktop applications (Electron) and Go microservices for torque monitoring, logging, and QA. Integrate industrial protocols (Modbus TCP, Siemens S7, MQTT), implement REST/WebSocket APIs, deploy containerized Linux services with Docker, and collaborate with cross-functional engineering teams.

Own and build full‑stack, growth-focused product experiences across the funnel (acquisition, activation, retention, monetization). Ship experiments, measure outcomes with analytics, iterate, and establish reusable infrastructure while collaborating with product, design, and data teams. Drive technical execution and lead end-to-end growth initiatives in a remote, product-led SaaS environment.

Design, build, and maintain backend services and APIs in Go; optimize PostgreSQL schemas and queries; create reliable integrations and orchestration layers; implement observability and security best practices; collaborate across engineering and product to improve developer experience and operate a SaaS platform.

Provide expert software engineering to improve and optimize codebases used for AI training: bug fixes, feature development, refactoring, performance tuning, architecture recommendations, documentation, and cross-functional collaboration to support scalable AI training workflows.

Lead a pod as technical owner of core, scalable production systems: define architecture, improve reliability and processes, lead planning/releases, mentor engineers, and coordinate cross-functional delivery.

Own and build frontend experiences across Air's web platform: translate product/design needs into high-quality UI, architect and ship features, improve component design and rendering performance, maintain a scalable design system, enforce accessibility and code quality, mentor engineers, and participate in reviews and hiring.