Software Engineer III – Developer Platform & AI Enablement

GHX is a healthcare business and data automation company that provides cloud-based supply chain technology, solutions, analytics, and services. The Software Engineer III will build and operate developer platform capabilities, AI enablement tooling, reusable infrastructure, MCP servers, and internal engineering tools while collaborating with product engineering teams in an Agile/Scrum environment.

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

Requirements:

• BS or MS Degree in Computer Science
• Requires 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
• 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