Software Engineer III – Developer Platform & AI Enablement

GHX

2d • $102,000 - $136,000

About The Position

GHX is seeking a Software Engineer III to join the Developer Platform & AI Enablement team. This team builds the tooling, standards, and AI capabilities that the rest of GHX core product engineering relies on. The role reports to the Director, Software Engineering, Developer Platform & AI Enablement. The engineer will work on a small team whose customers are other engineers, specifically those building healthcare supply chain products that contribute to significant cost savings in healthcare delivery. The Software Engineer III is responsible for analyzing, designing, programming, debugging, and modifying software. This role involves interacting with users to define system requirements and modifications within an Agile/Scrum environment. The engineer will grow to own capabilities end-to-end, such as a surface of the GHX agent platform, an MCP server, or a complexity-based router for AI model execution. This is an embedded role, requiring the engineer to spend most weeks within a product engineering team's repository to prove out patterns before bringing reusable versions back to broader engineering teams.

Requirements

• BS or MS Degree in Computer Science.
• 3-5 years of software development experience.
• Experience building internal tooling whose users were other engineers, with the ability to explain why a given tool was or was not adopted.
• Daily use of agentic coding tools — Claude Code (preferred), Copilot, Cursor, or similar.
• Direct experience authoring GitHub Actions at the reusable workflow or composite action level, or equivalent CI that other people consumed.
• Direct experience authoring Infrastructure as code.
• Technical writing that other engineers act on — design documents, ADRs, runbooks, or documentation you can point to.
• Willingness to teach live and unscripted, including co-facilitating recorded remote sessions and full-day in-person workshops.
• Willingness and ability to travel as needed.
• Must be able to work independently and as part of a team on multiple overlapping projects.

Nice To Haves

• Has measured a non-deterministic system and argued from the numbers — an eval harness, a benchmark, or a rubric.
• Experience building and operating MCP servers, including remote/HTTP transports and auth.
• Comfortable deploying and debugging on AWS
• An agent configuration artifact you authored that another engineer used — a skill, subagent, md/AGENTS.md, or MCP tool.
• Experience with local or open-weight inference: Ollama, llama.cpp, or MLX, quantization tradeoffs, context and KV-cache sizing, and OpenAI-compatible shims.
• Experience measuring developer outcomes: adoption instrumentation, DORA-style delivery metrics, and data plumbing behind messy organizational data.
• Experience with the healthcare supply chain, EDI documents and standards, an added advantage.

Responsibilities

• Analyzes, designs, programs, debugs, tests, documents, releases, and supports platform capabilities end to end.
• Authors technical designs and architectural artifacts, and reviews the designs of peers.
• Develops, versions, and documents reusable GitHub Actions and composite actions used across the organization.
• Develops, versions, and documents reusable terraform modules (or other IaC) used across the organization.
• Builds and operates MCP servers over stdio and remote/HTTP transports, owning tool schema design, transport selection, and authentication.
• Extends our internal agent platform, including the SDK and the APIs other GHX teams build against, and contributes to local model routing.
• Reads and safely modifies unfamiliar codebases, including Java and Maven builds, without owning the application code.
• Drives defects and blockers to resolution, and writes automated tests and system test specifications.
• Instruments developer-facing tooling to measure adoption and extends the team’s delivery-metrics pipeline.
• Participates in architectural design spikes, project planning, and estimation in an Agile/Scrum environment.
• Co-facilitates recorded AI in Automation Office Hours remotely each week.
• Facilitating live sessions, both remote and in person, is an essential function of this role.
• Actively uses AI-powered development tools to improve productivity and code quality, and authors the agent configuration artifacts other engineers reuse.
• Create and maintain documentation as part of development and enablement efforts.
• Stay up-to-date on industry trends and best practices related to Snowflake, Python, and AWS.
• May mentor and onboard new team members as needed.

Benefits

• Equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law.
• Consideration for employment without regard to any status protected by applicable law.
• Hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.
• Working environment which enables each employee to be productive and to work to the best of his or her ability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level