The Opportunity

Join a US logistics technology company's engineering team as a C# engineer on a live cloud platform. You will build services and APIs, and you will own them after the merge: release, monitor, roll back. The team works with Claude and Copilot all day, so how you run AI inside a repeatable process matters as much as what you ship. This is a backfill, so you step into a running codebase and a team that is already moving. Fully remote, US business hours, 12 month contract that moves to an ongoing engagement at term.

What You'll Bring

Core engineering

1. A record of shipping commercial software. 3+ years building products and services that real users depend on, and you can say exactly what you owned.
2. Strong C# and .NET, with REST APIs and microservices architecture. You design loosely coupled services and can explain the tradeoffs you made.
3. Working JavaScript or TypeScript alongside the .NET backend.
4. Automated testing as a habit. Unit and integration tests are part of how you finish a task, not a separate step.

Production ownership

1. You own releases and monitoring end to end. You can walk through how a change gets from a merged pull request to production, what rollout plan you used, and what triggers a rollback.
2. You know what to watch once it is live. You can name the specific signals you alert on, and what you did the last time one fired.
3. Cloud development and DevOps practice: CI/CD pipelines, containers, and cloud services that you deploy to and support yourself.

AI in your daily workflow

1. You use Claude, GitHub Copilot, Copilot CLI, or Claude CLI every day inside a repeatable process, not one off prompts. You can explain how you set up a session, how you break work into small steps, and what you check after each one (tests, review, evals).
2. You push back when the AI is wrong. You can describe a recent time you rejected or corrected its output, and why.
3. Hands on use of agents, plugins, skills, MCP servers, or automation that change how software gets built.
4. Experience building AI powered applications or agents with ASP.NET, Azure AI services, Azure AI Foundry, or an equivalent framework. Azure is not required. Some real agent building is.
5. Excellent written and verbal English.

What Sets You Apart

1. You have built your own agents, skills, or MCP servers, not only used someone else's.
2. You measure AI output with rubrics, evals, or review metrics, and you have improved a team's AI workflow with them.
3. You have carried on call duty or run incident response for a production service.
4. A background in warehouse, logistics, fulfillment, or ecommerce software.
5. Prior contractor or consulting experience embedded in a US team.

How We Work

AI tooling is expected here, and the team uses it to change how software is built, not only to autocomplete code. Work is planned in small steps, checked at each step, and owned through release and monitoring. The architecture is cloud native and service based. You join an existing team and codebase, so you ramp quickly and ask early. Seniority here is measured by what you ship, how well you run it in production, and how well you can explain it.

In interviews, expect to walk through real examples: a recent AI session from setup to review, and a production release with its monitoring and rollback plan.