1 день назад
Staff Platform Infrastructure Engineer (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Platform Infrastructure Engineer (AI): Building and scaling cloud, CI/CD, and self-service platform capabilities for enterprise-wide data and AI research and product development with an accent on multi-cloud infrastructure, infrastructure as code, security, and operational reliability. Focus on automating governed environments, enabling data scientists and engineers to provision ML resources, and driving platform-scale architecture, observability, and technical standards.
Location: USA - Remote; up to 10% travel. The role is part of the Chief Scientific Officer Office located in Washington, DC.
Annual salary: $180,000–$220,000, plus bonus or incentive pay.
Company
is a science and technology corporation operating across life sciences, diagnostics, and biotechnology.
What you will do
- Build, automate, and operate scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code.
- Design and maintain secure, consistent CI/CD pipelines for internal engineering teams.
- Develop a self-service platform that enables data scientists and engineers to provision compute, data, and ML resources.
- Embed security, data governance, quality, and compliance into platform capabilities.
- Establish observability, monitoring, alerting, support tiers, and reliable production operations.
- Drive technical standards and architecture decisions, collaborate with cross-functional leadership, document solutions, and mentor engineers.
Requirements
- 5+ years of software, platform, or infrastructure engineering experience, including hands-on data or AI/ML infrastructure work.
- Deep expertise with at least one major cloud platform and working familiarity with multi-cloud data and AI services.
- Strong experience with Infrastructure as Code, CI/CD tooling, Docker, and Kubernetes.
- Proficiency in Python, Go, or Bash for automation and tooling.
- Knowledge of cloud security and networking fundamentals, production monitoring, observability, incident response, and reliability practices.
- Ability to set technical direction at platform scale, establish standards, make architecture decisions, and mentor engineers.
Nice to have
- Experience in life sciences, diagnostics, or biotechnology.
- Experience with HIPAA, GxP, SOX, or other regulated-industry compliance and data governance requirements.
- Experience working in a matrixed environment.
Culture & Benefits
- Fully remote work arrangement from home for eligible employees.
- Paid time off and medical, dental, and vision insurance.
- 401(k) benefits for eligible employees.
- Culture focused on continuous improvement, belonging, technical rigor, and continuous learning.
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