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Software Engineer III – Developer Platform & AI Enablement

102 000 - 136 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer III – Developer Platform & AI Enablement (Python/AWS/AI): Building reusable developer-platform capabilities, MCP servers, agent-platform APIs, GitHub Actions, and infrastructure-as-code modules for healthcare supply chain product teams with an accent on internal tooling, AI enablement, and end-to-end platform ownership. Focus on designing reusable engineering patterns, operating MCP transports and authentication, routing requests between local and hosted models, and measuring developer adoption and delivery outcomes.

Location: Office location or remote in the USA; willingness and ability to travel as needed; live facilitation is required both remotely and in person.

Estimated salary: $102,000–$136,000 per year.

Company

hirify.global is a healthcare business and data automation company providing cloud-based supply chain technology, solutions, analytics, and services to healthcare providers, manufacturers, and distributors in North America and Europe.

What you will do

  • Analyze, design, program, debug, test, document, release, and support developer-platform capabilities end to end.
  • Author technical designs and architectural artifacts, review peer designs, and participate in planning, estimation, and Agile/Scrum design spikes.
  • Develop, version, and document reusable GitHub Actions, composite actions, Terraform modules, and other infrastructure-as-code components.
  • Build and operate MCP servers over stdio and remote/HTTP transports, including tool schemas, transport selection, and authentication.
  • Extend the internal agent platform, SDK, APIs, local-model routing, AI configuration artifacts, and developer-facing delivery-metrics pipeline.
  • Drive defects and blockers to resolution, write automated tests and system-test specifications, maintain documentation, facilitate AI in Automation sessions, and mentor or onboard team members as needed.

Requirements

  • BS or MS degree in Computer Science.
  • 3–5 years of software development experience.
  • Experience building internal tooling for other engineers and explaining why a tool was or was not adopted.
  • Daily use of agentic coding tools such as Claude Code, Copilot, Cursor, or similar.
  • Direct experience authoring reusable GitHub Actions or composite actions, or equivalent CI consumed by other people.
  • Direct experience authoring infrastructure as code.
  • Technical writing that other engineers act on, including design documents, ADRs, runbooks, or documentation that can be provided.
  • Willingness to teach live and unscripted, including co-facilitating recorded remote sessions and full-day in-person workshops.
  • Ability to work independently and as part of a team across multiple overlapping projects, with willingness and ability to travel as needed.

Nice to have

  • Experience measuring non-deterministic systems using an evaluation harness, benchmark, or rubric.
  • Experience building and operating MCP servers, including remote/HTTP transports and authentication.
  • Comfort deploying and debugging on AWS.
  • An agent configuration artifact used by another engineer, such as a skill, subagent, AGENTS.md file, or MCP tool.
  • Experience with local or open-weight inference, including Ollama, llama.cpp, MLX, quantization tradeoffs, context and KV-cache sizing, and OpenAI-compatible shims.
  • Experience measuring developer outcomes through adoption instrumentation, DORA-style delivery metrics, and data plumbing for organizational data.
  • Experience with healthcare supply chains, EDI documents, and related standards.

Culture & Benefits

  • Work in an embedded developer-platform team whose customers are other engineers.
  • Collaborate in an Agile/Scrum environment across multiple product-engineering teams.
  • Facilitate weekly recorded AI in Automation Office Hours remotely and live in-person sessions.
  • Work on healthcare supply chain products supporting automation, efficiency, and accuracy.

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