Top Software Engineer Jobs in Ann Arbor, MI

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.

Drive customer engagements to architect, deploy, tune, and operate Couchbase-based data platforms. Solve complex technical issues, enable AI-ready architectures, advise stakeholders, collaborate with sales, and author technical collateral.

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.

Design, build, and maintain low-latency, high-availability backend services and REST APIs. Troubleshoot production issues, improve performance, write technical specs, participate in on-call rotations, and collaborate on the bot runtime platform.

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Lead design, develop, and maintain scalable full-stack web applications. Mentor engineers, perform code reviews, troubleshoot production incidents, optimize performance, ensure API-first design, support cloud-native deployments (Kubernetes), and participate in on-call rotations.

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.