Top Remote Software Engineer Jobs in Ann Arbor, MI

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Develop, test, and ship features for data platforms, pipelines, contributor tools, quality assurance systems, and client-facing infrastructure. Collaborate with senior engineers, participate in code reviews, debug issues, and improve automation supporting large-scale AI training data workflows. The role offers hands-on experience with production engineering, data systems, and AI-adjacent technologies in a fully remote environment.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Develops, maintains, and enhances scalable web applications, internal tools, libraries, and shared components for international enterprise clients. Collaborates with cross-functional teams, participates in code reviews, creates technical documentation, and shares knowledge. Requires strong software development principles, design patterns, cloud, database, CI/CD, messaging, testing, and mobile framework experience.

As a Full Stack Software Engineer, you will develop and maintain robust backend systems using Ruby on Rails, collaborating with cross-functional teams to enhance the real estate platform's performance and user experience.

Design and build secure, scalable enterprise clinical workflow systems for Butterfly Cloud. Solve distributed-systems challenges involving elasticity, reliability, performance, and automated validation. Lead system design, own business problems, guide developers through execution, and mentor engineers. The role may span frontend and backend layers and involve cloud architecture, observability, search, real-time applications, GraphQL, containerization, and healthcare data compliance.

Build and maintain Python-based automation, services, test infrastructure, and performance analysis tooling for a distributed database system. Collaborate with internal stakeholders, improve developer tooling and reproducible testing, analyze system performance, and create documentation and runbooks. The role requires strong software fundamentals, systems thinking, Linux and CI experience, and the ability to learn new languages and systems quickly.

Build and operate multi-cloud infrastructure for MariaDB Cloud, designing application layers, APIs, cloud-native services, automation, and database-adjacent features. Own production capabilities end to end across AWS, Azure, and GCP using Terraform, Kubernetes, Docker, CI/CD, Python, and backend languages. Develop AI-enabled workflows involving vector databases, semantic search, RAG, and LLM agents while ensuring security, observability, scalability, and reliable deployment.

Design and build JTX, a high-performance Solana trading application. Develop low-latency, reliable systems for order routing, execution, real-time market data, and position management. Own critical infrastructure, implement security across transaction signing and user data, make architectural decisions, and collaborate with product and infrastructure teams in a fast-moving 0-to-1 environment.

As a Staff Software Engineer in Infrastructure, you will lead a team in building high-performance, distributed systems, guide project direction, mentor engineers, and improve data ingestion architecture.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.

Staff Software Engineer responsible for architecting and developing scalable web applications and APIs using Elixir, React, and PostgreSQL. The role involves solving ambiguous technical and business problems, ensuring system reliability and performance, collaborating cross-functionally, presenting solutions to leadership, writing tested code, participating in code reviews, mentoring engineers, and removing technical roadblocks.

Build, enhance, modernize, test, deploy, and sustain enterprise Java and Spring Boot applications supporting DoD financial and program management. Responsibilities include full-lifecycle feature ownership, Oracle schema and SQL development, Angular contributions, CI/CD pipeline delivery, security scanning, defect investigation, architecture participation, code reviews, and secure cloud deployment. The role requires evaluating existing systems, applying sound technical judgment, and meeting federal security and compliance requirements.

Build and sustain enterprise Java applications for DoD financial and program management. Own capabilities across requirements, architecture, API development, database design, testing, CI/CD deployment, security, and production sustainment. Work across Spring Boot, Angular, Oracle, SQL, and cloud environments while investigating defects, reviewing code, using AI-assisted tools responsibly, and contributing to agile delivery. Seven or more years of software development experience, a technical bachelor’s degree or equivalent experience, Security+ certification, U.S. citizenship, and Secret clearance eligibility are required.

Build and own software for marina operators and boaters across reservations, payments, CRM, work orders, accounting integrations, and mobile applications. Responsibilities span scoping, design, implementation, deployment, maintenance, and improving a legacy system handling live payment traffic. The role requires full-stack development, AI-assisted engineering, product judgment, clear communication, and ownership of customer outcomes in a lean team.

Owns end-to-end production software, architectural decisions, and improvements to the engineering lifecycle. The principal engineer will expand AI-assisted development, make speed safe across reservations, payments, mobile, and international systems, and influence a growing team’s engineering practices. Success means enabling a fourteen-person team to ship with the effectiveness of a much larger organization.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

Build and maintain scalable full-stack healthcare software in collaboration with clinicians, operators, and product managers. Own solutions from understanding business problems through delivery and measurement, make independent technical and product decisions, incorporate AI agents, and improve development practices through testing and documentation. The role involves developing and refactoring complex distributed systems while connecting engineering work to user and business outcomes.

Lead the architecture and technical direction of Alpaca’s margin and risk systems across equities, options, crypto, and future asset classes. Design low-latency, high-throughput services for margin calculation, real-time risk enforcement, exposure limits, margin calls, and operational workflows. Drive reliability, correctness, transactional integrity, observability, incident prevention, technical reviews, mentorship, and cross-functional integration with product, brokerage operations, compliance, and engineering teams.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Lead the architecture and implementation of scalable cloud compute functionality across ARM64 and x86 platforms. Design hypervisor layers, cross-platform build pipelines, and performance optimization solutions while writing, reviewing, documenting, and testing production software. Coordinate globally to deliver compute features and resolve low-level software issues. Provide technical, organizational, and functional leadership to engineers.

Lead a developer productivity engineering team responsible for CI/CD, build systems, internal tooling, and AI-augmented development workflows. Improve developer experience, engineering velocity, and software quality through scalable infrastructure, productivity metrics, AI tool adoption, coaching, and governance. Partner cross-functionally, mentor engineers, evaluate AI technologies and costs, and establish standards for security, correctness, licensing, and data handling.