2 дня назад
Principal Platform Engineer, AI & Infrastructure
255 000 - 355 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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