Top Software Engineer Jobs in Detroit, MI

As a Data Engineer, you will design, build, and maintain data pipelines and workflows, transforming raw data sources into clean, reliable data streams for healthcare clients.

The Principal Architect at Zencore leads technical projects, guiding clients in cloud technology solutions, with hands-on execution in architecture and mentoring other engineers.

Seeking a Software Engineer with 3+ years experience in software development, programming (Go, Java, C++, C#), and strong analytical skills.

As a Founding Engineer, you'll lead product development initiatives, make architectural decisions, and foster engineering best practices in a startup environment. Your expertise will be critical in building a user-friendly AI-driven supply chain platform.

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.

Lead technical direction with the CTO, architect and build high-scale distributed systems, mentor engineers, ship product roadmap, manage cloud infrastructure and orchestration, enforce CI/CD, testing and fault-tolerance, and collaborate with product and business teams while leveraging AI/ML frameworks.

Build, scale, and maintain Popl's backend services: write backend code, support and document APIs, monitor logs, resolve issues, make infrastructure decisions, and collaborate with engineering to ensure reliable, secure, and performant systems.

Profile and optimize HPC applications across architectures; identify bottlenecks, develop algorithmic and software solutions to accelerate workloads, translate application needs into software/hardware features, and build performance models for future architectures.