4 дня назад
Senior Platform Infrastructure Engineer (AI)
135 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Infrastructure Engineer (AI) (AWS/GCP/Azure, Terraform, Kubernetes): Building and scaling cloud platforms, CI/CD pipelines, and self-service infrastructure for enterprise-wide data and AI research and product development with an accent on multi-cloud architecture, automation, security, and governance. Focus on designing reliable platform capabilities, operating production systems, and driving technical standards across teams.
Location: USA - Remote; remote work from home. Travel up to 10% may be required.
Salary: $135,000–$150,000 annual salary, plus bonus or incentive pay.
Company
is a science and technology company operating across life sciences, diagnostics, biotechnology, and related businesses.
What you will do
- Build, automate, and operate scalable cloud infrastructure across AWS, GCP, and Azure using Infrastructure as Code.
- Design and maintain secure CI/CD pipelines for internal engineering teams.
- Develop a self-service platform for provisioning compute, data, and machine learning resources.
- Embed security, data governance, quality, compliance, observability, monitoring, alerting, and support capabilities.
- Evaluate new tools, translate cross-functional requirements into platform capabilities, and establish technical standards.
- Mentor engineers and drive architecture and design decisions across teams.
Requirements
- 5+ years of software, platform, or infrastructure engineering experience, including hands-on data or AI/ML infrastructure work.
- Deep expertise in at least one major cloud platform and working familiarity with multi-cloud environments.
- Strong experience with Terraform or Pulumi, CI/CD tooling, Docker, Kubernetes, and Python, Go, or Bash.
- Knowledge of cloud security, networking, monitoring, observability, incident response, and reliability practices.
- Experience setting technical direction at platform scale, establishing standards, making architecture decisions, and mentoring engineers.
- Computer science or engineering degree, or equivalent practical experience.
Nice to have
- Experience in life sciences, diagnostics, biotechnology, or regulated industries.
- Knowledge of HIPAA, GxP, SOX, and rigorous data governance requirements.
- Experience working in a matrixed environment.
Culture & Benefits
- Fully remote work arrangement from a home office for eligible employees.
- Paid time off and medical, dental, and vision insurance.
- 401(k) benefits for eligible employees.
- Continuous improvement culture with opportunities for internal development.
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