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3 дня назад

Senior Platform DevOps Engineer (AI)

155 000 - 175 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Platform DevOps Engineer (AI): Building and operating secure, governed infrastructure, pipelines, and control-plane guardrails for enterprise AI services across cloud, on-premises, air-gapped, and classified environments with an accent on Kubernetes, CI/CD, and AI model lifecycle management. Focus on integrating identity, policy enforcement, approvals, audit logging, observability, and RMF/ATO security accreditation while scaling AI models and agents.

Location: Fort Meade, Maryland, United States — onsite

Salary: $155,000–$175,000 per year

Company

hirify.global supports national security and critical civilian missions through adaptive technology, infrastructure modernization, and automation.

What you will do

  • Provide embedded operations support, capability integration, and rapid prototyping for AI-enabled tools.
  • Design, implement, and maintain infrastructure for enterprise AI applications across AWS, Microsoft Azure, on-premises, air-gapped, and classified environments.
  • Architect and manage CI/CD pipelines for AI models, agents, and applications.
  • Implement Docker and Kubernetes solutions and maintain control-plane guardrails for identity, policy enforcement, approvals, audit logging, and observability.
  • Manage AI model and agent versioning, monitoring, scaling, and lifecycle maintenance.
  • Collaborate with AI/ML engineers and data scientists while improving performance, security, scalability, and RMF/ATO accreditation readiness.

Requirements

  • Bachelor’s degree in a relevant technical field with 10+ years of experience, or a master’s degree with 8+ years of experience.
  • Advanced proficiency in DevOps principles and practices.
  • Expertise with Docker and Kubernetes.
  • Experience architecting and managing CI/CD pipelines.
  • Extensive experience with AI model lifecycle management and maintenance.
  • Active TS/SCI clearance with polygraph is required before starting.

Nice to have

  • Experience with AWS and Microsoft Azure infrastructure deployment and management.
  • Familiarity with Prometheus, Grafana, or the ELK stack.
  • Experience with infrastructure as code tools such as Terraform and Ansible.
  • Understanding of machine learning concepts and their infrastructure implications.
  • Strong communication and cross-functional collaboration skills.

Culture & Benefits

  • Culture based on the 6Hs: Happy, Helpful, Honest, Humble, Hungry, and Hustle.
  • Emphasis on collaboration, integrity, continuous improvement, innovation, and mission-focused work.
  • Equal opportunity employer supporting protected veterans and individuals with disabilities.

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