Software Engineer III – Developer Platform & AI Enablement
Контакты
102 000 - 136 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
aijavapythonterraformawsinfrastructure as codegithub actionsmcpagile scrum
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$102к-136к/год
$100к$150кмедиана$170к
По похожим ролям (49) ~ $150к/год
На СНГ рынке: $3.3к/мес ($2.4к - $4.2к)
62
Средняя вакансия
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Работа с передовым AI-стеком и платформенной разработкой выглядит круто, но зарплата существенно ниже рыночной медианы для уровня SWE III.
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Низкая зарплатаФокус на обученииПередовой стекСтабильный продукт
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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