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1 день назад

Staff Platform Engineer (AI/ML)

126 000 - 174 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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
Staff Platform Engineer (AI/ML): Defining and leading platform engineering strategy for complex, multi-environment cloud systems with an accent on Kubernetes, infrastructure as code, DevSecOps, and AI/ML platform infrastructure. Focus on architecting reliable and secure platforms, leading cloud migrations, orchestrating GPU workloads and model serving, and mentoring engineers through complex infrastructure challenges.

Location: Remote-based, with a preference for candidates in the Seattle metro area, United States.

Salary: $126,000–$174,000 USD per year.

Company

Robots & Pencils is an applied AI engineering firm building AI co-workers and integrating them into enterprise operations for clients across multiple industries.

What you will do

  • Define DevOps strategy and infrastructure architecture for multi-environment, multi-region cloud systems.
  • Architect and operate scalable Kubernetes platforms, containerized infrastructure, and infrastructure-as-code standards.
  • Lead DevSecOps practices covering secrets management, compliance, auditing, IAM, and zero-trust networking.
  • Own platform reliability, performance SLAs, cost optimization, observability, and production reliability practices.
  • Lead cloud migrations, platform modernization, and AI/ML infrastructure initiatives including model serving, GPU orchestration, LLM gateways, vector stores, and CI/CD.
  • Partner with engineering, product, and leadership; lead architecture reviews, mentor engineers, and act as a technical escalation point.

Requirements

  • 7+ years of professional DevOps or platform engineering experience, including leadership of complex platform initiatives.
  • Expert scripting and programming skills in languages such as Python, Go, Java, or Bash.
  • Deep expertise in at least one major cloud platform, Kubernetes, container orchestration, and infrastructure as code.
  • Strong experience with CI/CD, DevSecOps, networking, IAM, security architecture, zero-trust principles, service mesh, distributed systems, and microservices.
  • Strong AI/ML platform infrastructure experience, including model serving, GPU workload orchestration, LLM gateways, observability, vector stores, and AI/ML CI/CD.
  • Demonstrated technical leadership, mentoring, stakeholder communication, problem-solving, and day-to-day expert use of AI tools such as Claude and Cursor.

Nice to have

  • Cloud certifications such as AWS DevOps Engineer Professional, CKA, or Azure DevOps Engineer.
  • FinOps experience.

Culture & Benefits

  • Remote-based work with collaboration across delivery centers in Canada, the United States, Eastern Europe, and Latin America.
  • Paid time off and medical, dental, and vision insurance.
  • 401(k) benefits for eligible employees.
  • Ownership-oriented, direct, craft-focused environment with experienced engineering teams.

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