Top Software Engineer Jobs in Detroit, MI

Design, build, and own backend services, APIs, and integrations supporting customer care workflows. The role connects Salesforce, billing, identity verification, document management, and iPaaS platforms; requires automated testing, code reviews, incident response, performance monitoring, and cross-functional collaboration. The engineer will also apply AI tools and may build production LLM solutions.

Designs, builds, and ships scalable full-stack features for Toast’s restaurant and retail technology platform. Responsibilities include developing resilient backend services and APIs, responsive web interfaces, distributed systems, and high-throughput enterprise solutions using Java, Kotlin, React, and TypeScript. The role requires solving ambiguous technical problems, ensuring system reliability and observability, applying engineering best practices, collaborating cross-functionally, and mentoring engineers.

Automate tests for web-based and mobile applications and RESTful APIs supporting high-transaction, big-data SaaS products. Drive high-quality releases, apply quality standards, support SDLC processes, solve complex problems, and promote a customer-first quality culture across the organization.

Design, build, test, deploy, monitor, and support scalable enterprise software across the full lifecycle. Evaluate requirements, estimate effort, identify risks, collaborate with Product Management, conduct code and design reviews, and improve architecture and development practices. The role requires full-stack Java and modern front-end experience, API and event-driven integration expertise, database design, incident response, and CI/CD experience with Docker and Kubernetes.

Designs and maintains scalable Java and Spring Boot backend services, REST APIs, microservices, web applications, and PostgreSQL data models. Deploys cloud-native applications on GCP, manages CI/CD, Docker, infrastructure automation, monitoring, and observability. The role includes code reviews, testing, Agile participation, cross-functional collaboration, and mentoring junior and mid-level engineers.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Develop and maintain full-stack software using C#, .NET, Angular, TypeScript, SQL, and PostgreSQL. Design REST APIs and database solutions, implement testing strategies, validate statistical results, apply secure coding practices, resolve vulnerabilities, and support releases and maintenance. Collaborate with product management and quality engineering teams, participate in code reviews, contribute to technical designs, and mentor junior team members.

Design and implement a distributed query optimization system for MongoDB. Research query systems, architect features, write and review production-quality C++ code, debug large codebases, coordinate cross-team integrations, and mentor engineers while shaping long-term roadmap and performance improvements.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Build and operate a stablecoin payment rail for merchant checkout, subscriptions, refunds, reconciliation, and onchain settlement. Deliver full-stack features across Go services and React/Next.js interfaces, including APIs, protobufs, database migrations, wallet connectivity, and durable Temporal workflows. Improve accessibility, conversion, performance, and observability through logs, metrics, and traces. Participate in on-call rotations and collaborate cross-functionally to integrate Payment Acceptance into Coinbase’s developer platform.

Build, test, deploy, and support production software using .NET/C#, React or Next.js, cloud platforms, databases, observability, and modern architecture patterns. Incorporate Claude Code, Gemini CLI, AI agents, MCP, and automation into structured engineering workflows while validating AI-generated output. Own delivery from planning through production, implement secure integrations and testing, document architectural decisions, troubleshoot systems, identify risks, and mentor engineers on responsible AI adoption.

Build and scale full-stack financial product experiences for OnePay’s employer benefits platform. Lead technical design, establish architectural and coding standards, optimize systems for reliability, security, performance, and scalability, and make technical decisions balancing rapid delivery with sustainable solutions. Collaborate with product, design, and operations to deliver features across web, iOS, and Android using distributed systems, APIs, and modern frontend technologies.

Design, develop, and deploy software for Azure SmartNIC platforms and networking offloads. Improve performance, scalability, reliability, and telemetry for cloud networking services supporting compute and storage. Collaborate across hardware, firmware, silicon, platform, and service teams while troubleshooting production incidents and delivering high-availability solutions. Responsibilities include software design, coding, testing, performance analysis, monitoring, diagnostics, and production deployment for hyperscale distributed systems.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Design and build scalable observability capabilities for traces, logs, and metrics across distributed, multi-cloud systems. Develop telemetry pipelines, alerting, time-series storage, query performance, and Grafana dashboards. Debug complex production issues, improve reliability, collaborate with Product and customer-facing teams, and participate in on-call rotations. The role focuses on high-performance backend systems, cloud-native infrastructure, distributed databases, and AI-powered observability experiences.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Designs and maintains enterprise software, APIs, microservices, databases, ETL pipelines, CI/CD workflows, RPA solutions, and AI/LLM applications. Leads architecture and engineering reviews while implementing secure integrations, data governance, HIPAA/PII compliance, vector search, RAG, agentic workflows, and responsible AI practices. Collaborates with technical, compliance, data, and business stakeholders to move automation and AI solutions from prototypes into production.

Build and support conversational voice AI features across inbound and outbound platforms. Develop backend services, EHR integrations, and healthcare data pipelines. Contribute to testing, code reviews, technical documentation, production monitoring, troubleshooting, and root-cause analysis. Collaborate with AI engineering, product, and compliance teams in a fully remote environment while providing light on-call support.

Work directly with the founder to design and build core product features: integrations that pull license data, automation to file renewals/applications, data cleaning with AI, dashboard and alerting UX, and establish engineering practices for testing, deployments, and security. Term contractor role with potential conversion to full-time based on performance.

Build and optimize Azure Storage’s hyperscale distributed file system. Responsibilities include designing and implementing storage features, analyzing performance, ensuring availability, security, reliability, and durability, creating technical designs, estimating work, monitoring services on call, and improving observability and operational efficiency at scale.

Build and operate production backend services and APIs in Python for cloud-based AI integrations. Responsibilities include database and cloud-service integration, security, reliability, monitoring, testing, CI/CD, containerized deployments, infrastructure as code, production support, and collaboration with engineering and product teams.

Design, develop, and maintain software systems for autonomous driving evaluation workflows. Collaborate across teams, improve infrastructure, and mentor engineers.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Build and ship production software across the frontend and backend, working closely with founders, customers, and product teams. Develop AI-powered features and systems involving web scraping, unstructured data, PDF parsing, and cloud infrastructure. Translate real-world real estate and financing problems into technical solutions, make high-impact decisions, and own shipped code. The internship may convert to a full-time role.

Build AI-powered developer infrastructure for the core servicing platform, including coding-tool harnesses, scaffolding, context retrieval systems, evaluation frameworks, and workflow automation. Integrate AI assistance into CI/CD, code review, testing, and developer feedback loops. Establish technical direction, solve cross-team engineering problems, create reusable tooling, and enable platform teams to adopt AI-assisted development at scale.