globalhealthcareexchangeinc · Office Location or Remote - USA · Office Location or Remote - USA
<p>GHX is seeking a Software Engineer III to join Developer Platform & AI Enablement, the team that builds the tooling, standards, and AI capabilities the rest of GHX core product engineering runs on. Reporting to the Director, Software Engineering, Developer Platform & AI Enablement, you’ll work on a small team whose customers are other engineers: the developers building the healthcare supply chain products that take more than a billion dollars out of the cost of delivering healthcare every year.</p> <p>The SWE III is responsible for analyzing, design, program, debugging, and modifying software. This role is responsible for interacting with users to define system requirements and/or necessary modifications in an Agile/Scrum environment. You’ll grow into owning a capability end to end: a surface of the GHX agent platform, an MCP server other teams depend on, or the complexity-based router that decides whether a request runs on a local model or a hosted one. This is an embedded role, you’ll spend most weeks inside a product engineering team’s repository proving out a pattern before bringing the reusable version back to the broader engineering teams.</p> <p><strong>Duties and responsibilities</strong></p> <ul> <li>Analyzes, designs, programs, debugs, tests, documents, releases, and supports platform capabilities end to end.</li> <li>Authors technical designs and architectural artifacts, and reviews the designs of peers.</li> <li>Develops, versions, and documents reusable GitHub Actions and composite actions used across the organization.</li> <li>Develops, versions, and documents reusable terraform modules (or other IaC) used across the organization.</li> <li>Builds and operates MCP servers over stdio and remote/HTTP transports, owning tool schema design, transport selection, and authentication.</li> <li>Extends our internal agent platform, including the SDK and the APIs other GHX teams build against, and contributes to local model routing.</li> <li>Reads and safely modifies unfamiliar codebases, including Java and Maven builds, without owning the application code.</li> <li>Drives defects and blockers to resolution, and writes automated tests and system test specifications.</li> <li>Instruments developer-facing tooling to measure adoption and extends the team’s delivery-metrics pipeline.</li> <li>Participates in architectural design spikes, project planning, and estimation in an Agile/Scrum environment.</li> <li>Co-facilitates recorded AI in Automation Office Hours remotely each week.</li> <li>Facilitating live sessions, both remote and in person, is an essential function of this role.</li> <li>Actively uses AI-powered development tools to improve productivity and code quality, and authors the agent configuration artifacts other engineers reuse.</li> <li>Create and maintain documentation as part of development and enablement efforts.</li> <li>Stay up-to-date on industry trends and best practices related to Snowflake, Python, and AWS.</li> <li>May mentor and onboard new team members as needed.</li> </ul> <p><strong>Required Qualifications</strong></p> <ul> <li>BS or MS Degree in Computer Science.</li> <li>Requires 3-5 years of software development experience</li> <li>Experience building internal tooling whose users were other engineers, with the ability to explain why a given tool was or was not adopted.</li> <li>Daily use of agentic coding tools — Claude Code (preferred), Copilot, Cursor, or similar.</li> <li>Direct experience authoring GitHub Actions at the reusable workflow or composite action level, or equivalent CI that other people consumed.</li> <li>Direct experience authoring Infrastructure as code.</li> <li>Technical writing that other engineers act on — design documents, ADRs, runbooks, or documentation you can point to.</li> <li>Willingness to teach live and unscripted, including co-facilitating recorded remote sessions and full-day in-person workshops.</li> <li>Willingness and ability to travel as needed.</li> <li>Must be able to work independently and as part of a team on multiple overlapping projects.</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Has measured a non-deterministic system and argued from the numbers — an eval harness, a benchmark, or a rubric.</li> <li>Experience building and operating MCP servers, including remote/HTTP transports and auth.</li> <li>Comfortable deploying and debugging on AWS</li> <li>An agent configuration artifact you authored that another engineer used — a skill, subagent, md/AGENTS.md, or MCP tool.</li> <li>Experience with local or open-weight inference: Ollama, llama.cpp, or MLX, quantization tradeoffs, context and KV-cache sizing, and OpenAI-compatible shims.</li> <li>Experience measuring developer outcomes: adoption instrumentation, DORA-style delivery metrics, and data plumbing behind messy organizational data.</li> <li>Experience with the healthcare supply chain, EDI documents and standards, an added advantage.</li> </ul> <p>Estimated Salary: $102,000 - $136,000</p> <p> </p> <p>LI - SR</p><div class="content-conclusion"><p><strong data-stringify-type="bold">GHX: It's the way you do business in healthcare</strong><br>Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.</p> <p&