Top Software Engineer Jobs in Detroit, MI

Build and maintain features across Vetcove’s web, backend, and mobile platforms. Responsibilities include developing React and React Native applications, creating reusable components, improving test coverage, designing performant and secure data models, optimizing database queries, writing API endpoints, and collaborating with engineering, product, and company leadership in a fully remote environment.

Design, develop, and maintain a native IBM i connectivity agent for Redwood RunMyJobs. Responsibilities include job submission and monitoring, spool and queue handling, CL/RPG invocation, security integration, API connectivity, troubleshooting, performance and reliability improvements, architecture, code reviews, testing, documentation, and collaboration with product and engineering teams. The role also requires validating AI-assisted solutions against authoritative IBM i documentation.

Build and maintain a Java-based connectivity agent integrating Redwood RunMyJobs with IBM z/OS. Responsibilities include JES, TSO, SMF, USS, security, cryptography, custom protocols, C/JNI integration, concurrency, troubleshooting, performance, architecture, testing, documentation, and collaboration. The role requires deep mainframe systems expertise, strong Java and C skills, DevOps experience, and sound judgment when using AI-assisted engineering tools.

Designs and develops enterprise and multitenant SaaS applications using Java, Spring Boot, and AWS. Responsibilities include cloud architecture, REST APIs, databases, infrastructure as code, CI/CD, authentication, tenant provisioning, monitoring, security compliance, and performance improvements. The role collaborates with technical and business stakeholders and supports FedRAMP requirements.

Lead enterprise software architecture and full-stack development across operations, supply chain, finance, commercial, and digital functions. Design scalable cloud-native platforms, API-first and event-driven integrations, and resilient enterprise systems using AWS and modern engineering practices. Advise on technology strategy, improve software quality and operational excellence, and mentor engineers. Partner with business and technical leaders to deliver supply chain, procurement, CRM, ERP, and e-commerce capabilities at scale.

Lead the technical direction, architecture, and development quality of complex Android applications. Mentor engineers, integrate backend services, support offline-first functionality and diverse hardware, oversee CI/CD and releases, and document engineering standards. The role also involves robotics integrations for public safety use cases, including drones and body-worn cameras, while collaborating with technical and non-technical stakeholders.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

The role involves leading frontend development, maintaining UI components, overseeing CI/CD pipelines, mentoring engineers, and enhancing application performance in collaboration with cross-functional teams.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Develop, test, implement, optimize, and maintain scalable software systems. Collaborate with product managers, designers, and engineers; troubleshoot technical issues; conduct code reviews; contribute to architecture decisions; follow secure coding practices; and participate in Agile ceremonies.

Build and scale global payments and treasury systems using resilient, event-driven, microservice-based architecture. Design and implement cloud-native services, client-facing APIs, distributed systems, payment rails, financial ledgers, and reconciliation solutions. Collaborate independently and across teams, troubleshoot complex issues, maintain high-quality tested code, and contribute to technical and product goal definition.

The Software Developer will design, develop, and debug applications for automotive data logging and telematics, implement test plans, and troubleshoot production software issues.

Design, develop, and maintain software for automotive data acquisition and device-to-cloud communication in the automotive testing industry.

Design and evolve core data models and durable APIs for complex communications networks. Build, test, operate, and maintain production-grade interfaces and abstractions for heterogeneous physical and logical networks while ensuring compatibility, consistency, quality, and performance. Manage project priorities, timelines, and deliverables within the Spacetime engineering team.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Own Payabli’s AWS infrastructure, platform roadmap, CI/CD pipelines, infrastructure-as-code, developer environments, observability, and security posture. Design resilient cloud architecture, improve local development, enable secure AI-assisted workflows, and maintain PCI-DSS-aligned controls. Establish deployment standards, monitoring, documentation, and runbooks while partnering with engineering leadership to increase developer productivity and operational reliability.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Design, modernize, and support enterprise applications and integrations across on-prem, cloud, SaaS, and hybrid environments. Implement IaC (Terraform), CI/CD, containerized deployments, automation, monitoring, backups, and disaster recovery. Enforce security best practices, troubleshoot incidents, document runbooks, and introduce practical AI-enabled automation and analytics. Mentor junior engineers and drive platform reliability and scalable integrations.

Lead development and operation of a scalable Kubernetes-based cloud-native platform. Shape the engineering roadmap, deliver enterprise platform capabilities, establish best practices, mentor engineers, and collaborate across Agile teams. Build highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, while applying expertise in Go, Python or Bash, networking, Linux, and CI/CD practices.