Top Software Engineer Jobs in Detroit, MI

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Develop full-stack software for secure, scalable satellite ground communications platforms. Responsibilities include building Python backend services and APIs, designing TypeScript front-end applications, implementing authentication, authorization, microservices, databases, testing, and cloud deployments. The role involves collaborating with MBSE and test teams, translating requirements into technical designs, troubleshooting production issues, supporting integrations, and presenting engineering recommendations. Work requires maintaining secure, reliable systems for U.S. Government missions.

Develop and maintain Java components for a modernization framework and existing business applications. Support legacy refactoring, API and backend service development, documentation, unit testing, debugging, and application architecture updates. Collaborate with senior developers during design sessions and sprint ceremonies while building expertise in modern development practices, cloud concepts, and application transformation.

Develop and maintain COBOL-based Medicare claims processing software in a legacy mainframe environment. Responsibilities include designing, coding, debugging, unit testing, implementing enhancements, troubleshooting defects, supporting Agile/Scrum delivery, preparing estimates, maintaining documentation, and collaborating with team members, clients, and vendors. The role supports Durable Medical Equipment claims processing and requires adherence to structured development standards.

Develops, tests, documents, enhances, and maintains software applications supporting business requirements. Collaborates with internal teams to define specifications, writes and debugs code, monitors performance, prepares status reports, trains end users, and supports application improvements. The role uses C#, .NET, React, AWS, databases, shell scripting, source control, and development tools. On-call availability and some travel may be required.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Develop and validate embedded battery management software spanning drivers, hardware abstraction, communication stacks, diagnostics, bootloaders, and application controls. Implement BMS functions including cell monitoring, balancing, contactor control, isolation detection, and metrology. Debug target hardware, resolve root causes, maintain traceability and documentation, apply safe coding practices, and collaborate within an agile DevOps-oriented team.

Build and expand fintech and payment systems using Go, microservices, databases, and cloud technologies. Design production APIs and tooling, diagnose customer issues, manage full release lifecycles, document systems, and mentor engineers. Collaborate with product and business teams while guiding AI agents to produce maintainable, observable, testable code that meets engineering standards. Work independently in a high-availability environment and contribute to next-generation financial products.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Design, implement, and maintain partner integration solutions; translate partner requirements into scalable technical implementations; troubleshoot and automate fixes; collaborate with product and engineering teams to improve tools and ensure successful partner onboarding and launches.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Senior Software Engineer responsible for designing and implementing polished frontend experiences from Figma concepts through production React and TypeScript code. The role includes building scalable design systems and component libraries, ensuring accessibility and responsive design, contributing to frontend architecture, and translating complex mortgage workflows into intuitive interfaces. The engineer will collaborate across Product, Design, and Engineering while owning projects throughout the product lifecycle.

Lead the technical direction and architecture of Grafana Cloud’s Session Replay product across frontend, backend, and data systems. Design columnar storage, ingestion pipelines, data models, and query patterns for high-volume session data. Build cross-product debugging workflows, partner with customers and internal teams, improve engineering practices, make architectural decisions, and mentor engineers.

Build and maintain large-scale automation and control systems for Azure Kubernetes Service. Responsibilities include improving Kubernetes cluster performance and reliability, automating cluster lifecycle operations, developing safety and observability tools, supporting secure infrastructure changes, participating in production operations and on-call rotations, and mentoring engineers through design reviews and continuous improvement.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Designs, develops, tests, deploys, and supports scalable enterprise applications using .NET, C#, and MongoDB. Responsibilities include database modeling and optimization, API and microservices integration, architectural decisions, automated testing, CI/CD, production troubleshooting, technical debt reduction, and mentoring junior engineers. The role collaborates with product and engineering teams in an Agile environment to deliver healthcare practice management capabilities.

Develop and maintain a Java and Drools business rules engine governing eligibility, suppression, frequency, and consent. Build Spring services, REST APIs, and Kafka integrations; ensure correctness, performance, testing, resiliency, and compliance in a PHI-handling environment. Collaborate with Product and compliance teams, participate in code reviews, and support cloud-based Kubernetes deployments.

Lead technical strategy, build and maintain software systems using AI, mentor early-career engineers, collaborate across disciplines, and protect user privacy and security. The role involves developing scalable systems on AWS and Kubernetes while working with healthcare data and adhering to HIPAA and data-security best practices.

Designs and develops scalable customer-facing web applications and microservices APIs. Leads complex system architecture, performs code reviews, mentors engineers, defines technical implementations, and guides engineering vision. Maintains sustainable business systems, supports compliance initiatives, and improves development processes. The role requires Java and Spring experience, cloud technologies, relational databases, REST and event-driven architectures, containerization, front-end development, and software lifecycle expertise.

Develop and evolve Azure capacity infrastructure, platform capabilities, and service stacks at scale. Provide technical leadership in requirements, architecture, design, coding, release planning, and operational reliability. Mentor engineers, manage cross-product dependencies, serve as a designated responsible individual, participate in on-call support, and improve system availability, observability, performance, and efficiency.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Design, build, and scale backend services, APIs, and workflow systems supporting healthcare claims identification and recovery. Integrate AI/ML models, legal datasets, and transactional data while developing fault-tolerant Temporal workflows. Maintain AWS infrastructure and secure deployment pipelines using Python, TypeScript, PostgreSQL, Redis, and related technologies. Collaborate with product, business, and data science teams to deliver reliable, secure, high-performance systems in a regulated startup environment.