2 дня назад
Staff DevOps Automation Engineer (AI)
180 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff DevOps Automation Engineer (AI) (Azure/Terraform/Kubernetes): Building and operating secure, scalable cloud infrastructure and platform services for AI and ML initiatives with an accent on infrastructure as code, CI/CD, observability, and production reliability. Focus on designing self-service data and ML resource provisioning, establishing platform-wide technical standards, and solving security, governance, and scalability challenges for LLM-driven workloads.
Location: USA - Remote; up to 10% travel required. The role is part of the CIO Office located in Washington, DC.
Salary: $180K–$220K annual salary, plus eligible bonus or incentive pay.
Company
is a science and technology company operating across life sciences, diagnostics, and biotechnology businesses.
What you will do
- Design, build, automate, and operate secure, scalable Azure cloud infrastructure using Infrastructure as Code.
- Develop CI/CD pipelines, self-service capabilities, and resource provisioning frameworks for data scientists and engineers.
- Establish observability, monitoring, alerting, reliability practices, support models, and operational processes for platform stability.
- Evaluate and integrate emerging technologies and services to improve platform capabilities, scalability, and user experience.
- Translate requirements into platform solutions, define technical standards, document architectures, and mentor junior engineers.
Requirements
- 5+ years of software, platform, or infrastructure engineering experience, including hands-on data or AI/ML infrastructure work.
- Deep expertise with AWS or Azure and working familiarity with multi-cloud data and AI services.
- Strong experience with Terraform or Pulumi, CI/CD tooling, Docker, Kubernetes, and at least one of Python, Go, or Bash.
- Strong security and networking fundamentals, with experience in monitoring, observability, incident response, and production reliability.
- Ability to set technical direction at platform scale, drive cross-team architecture decisions, establish standards, and mentor engineers.
- Must work remotely from the USA and be able to travel up to 10%.
Nice to have
- Experience in life sciences, diagnostics, biotechnology, or related R&D, quality, clinical, manufacturing, or commercial environments.
- Experience with HIPAA, GxP, SOX, regulatory compliance, and rigorous data governance.
- Experience working in a matrixed environment.
Culture & Benefits
- Remote work arrangement from a home office for eligible roles.
- Paid time off and medical, dental, and vision insurance.
- 401(k) and other comprehensive employee benefits.
- Culture focused on continuous improvement, belonging, technical learning, and internal career development.
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