Top Remote Software Engineer Jobs in Detroit, MI

Build and evolve developer-facing trading APIs, lead backend projects end to end, design scalable systems, support new chains and bridges, improve reliability and performance, investigate onchain transaction failures, participate in on-call, and collaborate with product, legal, GTM, and customers. The role requires deep DeFi and EVM expertise, strong system design skills, and ownership in a remote environment.

Build and maintain AI agents, workflow automations, and integrations supporting sales, marketing, customer success, and revenue operations. Enhance K-12 account intelligence, automate CRM and revenue processes, deploy AI assistants, maintain trusted data flows, measure business impact, enable nontechnical users, and ensure compliance with FERPA, COPPA, and student-privacy requirements. The role requires hands-on HubSpot or Salesforce expertise, LLM and workflow automation experience, scripting, SQL, API integration, and GTM systems knowledge.

Lead the architecture, development, operation, and evolution of PlayStation’s real-time analytics platform. Build scalable distributed data systems using streaming and OLAP technologies, integrate batch and streaming workloads, improve reliability and performance, and develop AI-powered engineering capabilities. The role provides technical leadership across teams, mentors engineers, drives architecture and standards, resolves production incidents, and participates in on-call support.

Provides senior technical leadership across engineering teams by shaping architecture, guiding complex software development, mentoring engineers, and driving scalable, secure, and reliable solutions. Responsibilities include hands-on coding, design reviews, API and system architecture, CI/CD and tooling improvements, cross-team technical alignment, project leadership, and partnership with product and design stakeholders. The role is remote with quarterly travel to Tampa, Florida.

Develop and mature the LLDB-based Mojo debugger, including interactive debugging, IDE integration, debug information, expression evaluation, GPU debugging, profiling, and MCP capabilities. Define the debugger roadmap, collaborate with compiler and developer relations teams, engage the developer community, and support open-source contributions. The role requires LLDB internals expertise and strong knowledge of debuggers, linkers, compilers, and systems programming.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Lead the Methods and Insights engineering teams, overseeing hiring, coaching, performance management, delivery, operational health, architecture, and developer experience. Partner with product leaders and founders to sequence work, manage risk, improve engineering processes, and ship reliable systems. Build AI-agent development practices, shared components, CI gates, conventions, and harnesses that help engineers move quickly while maintaining quality.

Teaches undergraduate and graduate software development courses online, develops syllabi and course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI use into instruction. The role requires software development expertise, course preparation, assessment design, and ongoing faculty development. Candidates need a doctorate and substantial applied experience in software development or related computing disciplines.

Four-month, fully remote software engineering internship embedded within Wikimedia Foundation engineering teams. Interns complete a primary project with defined deliverables while learning through mentorship and hands-on work across mobile applications, editing tools, data platforms, release engineering, cloud infrastructure, observability, and contributor connection systems. The program requires 40 hours per week, independent problem-solving, collaborative communication, and foundational programming, database, scripting, and potentially SQL, Linux, networking, operating systems, or distributed-systems knowledge.