3 дня назад
DevOps Engineer (AI)
180 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI/Docker/Kubernetes): Building and deploying AI applications with backend APIs and frontend components across cloud, on-premises, and air-gapped classified environments with an accent on hardened container images, Kubernetes orchestration, CI/CD, and system accreditation. Focus on designing multi-cloud deployment architecture, deploying LLMs efficiently in sensitive environments, and enabling FedRAMP, IL5, and IL6 compliance.
Location: Washington, DC, United States; hybrid, with on-site customer deployments as needed
Salary: $180,000–$240,000 per year, plus significant equity
Company
develops AI applications for mission-critical workflows and deployment in sensitive customer environments.
What you will do
- Build and deploy application configurations across cloud, on-premises, and air-gapped classified networks.
- Design and maintain architecture for systems combining multiple AI models, backend APIs, and a frontend web application.
- Develop hardened Docker images with efficient Dockerfiles and minimal CVEs.
- Write and improve Helm charts for deployments across varied Kubernetes clusters.
- Improve GitHub Actions CI/CD processes for reliable application and dependency updates.
- Support system accreditation and contribute to deployment strategy, architecture, and company-level technical decisions.
Requirements
- US DoD security clearance at Secret level or higher.
- 4+ years of individual contributor experience as a DevOps engineer in high-stakes environments.
- Strong experience with Docker, Kubernetes, Helm, and CI/CD.
- Strong experience with system design, deployment strategy, and multi-cloud software deployment.
- Knowledge of cybersecurity principles and best practices, especially FedRAMP and NIST 800-53.
- Experience leading and collaborating with engineers, communicating with senior customer stakeholders, and taking ownership of complex problems.
Nice to have
- Experience with LLMs and other large models.
Culture & Benefits
- Opportunity to influence mission-critical workflows and solve novel problems with mission partners.
- Small, close-knit technical team with room to shape architecture, processes, strategy, and culture.
- Opportunity to define and expand the role as the company grows.
- Competitive salary, equity upside, and annual merit refreshes based on impact.
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