Top Software Engineer Jobs in Detroit, MI

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Designs, develops, tests, audits, troubleshoots, and improves scalable software applications for new business initiatives. Owns technical solutions from conception through deployment, works in an Agile environment, mentors engineers, performs code reviews, recommends technology choices, and drives continuous improvement while collaborating with stakeholders.

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Design, develop, test, and deploy scalable frontend and backend software across distributed cloud architectures. Lead complex feature and service implementation, translate requirements into technical designs, contribute to architecture, and promote quality, security, observability, and maintainability. Collaborate cross-functionally, conduct code reviews, mentor engineers, mitigate technical risks, improve development practices, and evaluate tools that enhance engineering productivity and product quality.

Design, implement, and optimize gameplay mechanics and systems. Collaborate with designers, artists, and developers to troubleshoot and refine code, optimize performance across platforms, and maintain clean modular code while staying current with game technologies.

Lead front-end modernization and deliver full-stack features using React, .NET, PostgreSQL, and cloud technologies. Build accessible, performant applications and design systems; extend APIs, optimize SQL, contribute to Kafka pipelines, and improve testing, observability, CI, and security. Use AI coding agents for migrations, refactoring, and test generation while applying strong engineering judgment. Collaborate with product, UX, DevOps, and stakeholders to deliver reliable healthcare payment-integrity software.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Own technical implementations of AI-powered patient access agent deployments from workflow discovery through configuration, testing, troubleshooting, and go-live. Translate customer requirements into workflow logic, prompts, rules, integrations, and tooling. Partner with customer-facing and internal teams, resolve production issues, and convert recurring needs into reusable product capabilities, documentation, and implementation processes.

Lead software engineering teams and complex client engagements delivering AI-first, cloud-native applications. Manage 5–8 technical direct reports, own requirements, architecture, backlogs, technical decisions, testing, risk escalation, and executive client communications. Partner with architects, engineers, project managers, sales, and stakeholders on discovery, delivery, modernization, integrations, and pre-sales. Mentor team members and contribute hands-on to AWS and AI-enabled software development.

Own engineering for a healthcare software startup, writing production code across patient and clinician products, clinical data systems, healthcare integrations, internal tools, and infrastructure. Lead architecture, reliability, security, privacy, compliance, and technical standards. Partner with product and clinical teams, make technical decisions, and eventually hire and mentor engineers while growing into Head of Engineering.