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2 дня назад

Principal Platform Engineer, AI & Infrastructure

255 000 - 355 000$
Формат работы
hybrid
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
Principal Platform Engineer, AI & Infrastructure (AI/Cloud/DevOps): Setting the technical direction for AI platforms, cloud infrastructure, DevOps, CI/CD, developer experience, and compute systems supporting space defense capabilities with an accent on agentic engineering, production AI, and secure multi-cloud platforms. Focus on designing and delivering systems for ambiguous high-stakes problems, selecting AI providers and architectures, and meeting government security and compliance requirements.

Location: Denver, CO; Long Beach, CA; or Washington, DC. Hybrid work with at least 3 days per week in the office; onsite requirements may increase for classified systems.

Base salary: $255,000–$355,000 in Denver; $270,000–$375,000 in Long Beach or Washington, DC, plus equity and benefits.

Company

hirify.global develops autonomous spacecraft, advanced payloads, mission software, and space-based interceptors for space defense and national security.

What you will do

  • Set the technical vision and multi-quarter roadmap for AI platforms, infrastructure, and platform engineering.
  • Design and deliver platforms and systems for ambiguous, high-stakes enterprise problems.
  • Guide architecture across AI, infrastructure, data, DevOps, CI/CD, developer experience, and compute.
  • Evaluate AI providers, platforms, and tooling, including build-versus-buy decisions.
  • Advise engineering, product, and business functions on applying AI and agentic engineering.
  • Mentor engineers, establish technical standards, and align teams on shared platform direction.

Requirements

  • 12+ years of software engineering, DevOps, SRE, or cloud engineering experience.
  • Deep expertise in AI platforms and agentic engineering, with strong hands-on cloud, DevOps, CI/CD, developer platform, and compute experience.
  • Production experience with cloud environments including AWS, Azure, or GCP, infrastructure-as-code, networking, identity, and deployment foundations.
  • Experience with LLM APIs, prompt engineering, tool use, retrieval-augmented generation, and agent frameworks.
  • Strong communication, architecture, technical leadership, and experience resolving ambiguous problems autonomously.
  • U.S. citizenship and ability to obtain and maintain a Top-Secret security clearance are required. ITAR eligibility is also required.

Nice to have

  • Experience with data platforms, pipelines, big-data infrastructure, and enterprise search.
  • Experience deploying AI or ML systems in government, defense, or regulated environments.
  • Familiarity with AWS GovCloud, Azure Government, FedRAMP, NIST 800-53, IL4, or IL5.
  • Experience with model evaluation, observability, containers, orchestration, service mesh, and artifact management.

Culture & Benefits

  • Fast-paced, mission-critical work supporting national security space operations.
  • Health, dental, vision, HRA/HSA options, PTO, and paid holidays.
  • 401(k) and parental leave.
  • Occasional travel to government sites, classified facilities, launch facilities, or partner locations may be required.

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