Назад
Company hidden
2 дня назад

Director, Production and Infrastructure Engineering (AI)

240 000 - 290 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Director, Production and Infrastructure Engineering (AI): Building and leading production, infrastructure, DevOps, SRE, DevEx, MLOps, and support engineering functions for enterprise AI applications with an accent on cloud operations, reliability, delivery automation, and team development. Focus on designing scalable infrastructure, improving release readiness and incident response, and coordinating complex technical delivery across engineering, product, AI, and security teams.

Location: Seattle, WA preferred, or remote within the USA. Some travel is required. Certain national security assignments may require U.S. citizenship and eligibility to obtain and maintain a security clearance.

Salary: $240,000–$290,000 annually.

Company

hirify.global is an incubation firm building and investing in technology-led companies across healthcare, cybersecurity, and national security; this role supports Trase Systems, an AI platform for deploying, managing, and optimizing enterprise AI and agentic applications.

What you will do

  • Build and develop the Production and Infrastructure Engineering organization, including hiring, onboarding, coaching, career development, and performance management.
  • Lead DevOps, SRE, DevEx, MLOps, testing, application delivery, and dedicated support functions across multiple technical disciplines.
  • Own sprint planning, backlog grooming, capacity planning, delivery reviews, dependencies, scope, incidents, and customer support commitments.
  • Provide hands-on technical leadership through design and code reviews, technical investigations, pairing, and guidance on application, deployment, and operational concerns.
  • Establish production and release readiness practices covering reliability, change management, QA, end-to-end validation, documentation, and rollback plans.
  • Improve cloud infrastructure, automation, CI/CD, observability, on-call readiness, incident response, support metrics, and cross-functional delivery with Product, Platform, Applied AI, and Security/GRC.

Requirements

  • 10+ years of relevant engineering experience, including 5+ years of direct engineering people management, or equivalent demonstrated experience. Experience building teams, coaching platform or infrastructure engineers, managing performance, and delivering through technical leads is required.
  • Experience leading teams with different technical specialties and seniority levels, with strong planning, prioritization, delegation, stakeholder communication, and conflict-resolution skills.
  • Strong technical foundation in at least one major cloud platform such as GCP, AWS, or Azure, with practical experience in Kubernetes, containers, networking, identity, and production operations.
  • Practical experience with Terraform, Git-based development workflows, GitOps, CI/CD, repeatable environments, configuration control, and reliable deployments.
  • Strong software engineering background across backend services, APIs, data stores, full-stack integration, production software delivery, code and design reviews, failure analysis, and pairing with engineers.
  • Experience leading production delivery and support, including reliability, incident response, release and change management, automated testing, and end-to-end readiness.
  • Ability to structure ambiguous work, learn unfamiliar technical domains, make timely decisions with incomplete information, and shift between people leadership, delivery issues, and technical discussions.
  • Experience managing technical commitments and escalations with internal or external customers and translating customer needs into feasible priorities and delivery plans.

Nice to have

  • Familiarity with MLOps, model serving, or operating AI/ML and agent workloads.
  • Experience supporting customer-managed environments, multiple cloud providers, or enterprise deployments with complex integration needs.
  • Experience in national security, federal, regulated, or other security-sensitive environments and partnering with Security/GRC.
  • Experience scaling an engineering organization or building a new team or operating function in a fast-changing company.

Culture & Benefits

  • Full-time employment with a career track and potential for rapid advancement.
  • Employer-paid medical, dental, and vision coverage for employees and families.
  • Fourteen weeks of paid maternity and paternity leave at normal pay.
  • Unlimited PTO with management approval.
  • Professional development and continued learning opportunities, with optional 401(k), FSA, and equity incentives.
  • Mental health and GLP-1 support programs are available.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →