5 staff full stack engineer jobs at 4 companies in Southgate, MI
1d
Save
Mark Applied
Hide
Staff Automation & Platform Engineer
Warren or United States
$160k-$246k/yr HybridFull Time
8+ YOEBachelor's in CS or related,8+ years software/backend/automation experience,full-stack proficiency,platform engineering,production hardening,agent/automation development and integration.
ReactJS, Vite, Python, PostgreSQL, Databricks, REST, Glean, Azure AI Foundry, Google
4w
Save
Mark Applied
Hide
Staff Software Engineer
Royal Oak, Michigan, United States
$120k-$200k/yr HybridFull Time
Technical leadership in backend and full-stack systems, strong Java/Spring experience, familiarity with distributed systems, Kafka, AWS, Kubernetes, and ability to design and mentor across teams.
Java, Spring, Rust, TypeScript, React, Kafka, OpenSearch, AWS, Kubernetes, MSK, MariaDB, S3, CloudFront
1mo
Save
Mark Applied
Hide
Lead Software Engineer AI (Staff Engineer)
Eagan or Frisco or Toronto or Ann Arbor
$127k-$237k/yr HybridFull Time
5+ YOEBachelor's degree or equivalent, 5+ years full-stack experience building scalable cloud applications; expertise in C#/.NET, backend architecture, APIs, distributed systems, and AI integration (LLMs, OpenAI/Anthropic); front-end skills (JavaScript/Typescript, Angular/React); AWS, PostgreSQL/SQLServer, CI/CD.
C#, .NET, ASP.NET Core, FastAPI, SQLServer, PostgreSQL, AWS, Vercel, JavaScript, Typescript, HTML, CSS, Angular, React, GitHub Actions, OpenAI, Anthropic, LLMs
1mo
Save
Mark Applied
Hide
Research Staff, Data Science
San Francisco or Ann Arbor or United States
$150k-$220k/yr RemoteFull Time
Experience building end-to-end data stacks and pipelines, applying statistical methods and deep learning to audio data, strong software engineering in Python, and experience with PyTorch; strong communication skills.
Python, PyTorch
1w
Save
Mark Applied
Hide
Staff Product Manager - Simulation Evaluation Applications Infrastructure
Sunnyvale or Warren
$135k-$245k/yr HybridFull Time
8+ YOE8+ years product management experience, Bachelor's in Engineering/Data Science required, strong knowledge of cloud data and analytics stacks, product strategy, stakeholder leadership; MBA or Master's preferred.