3 дня назад
Infrastructure Engineer (AI)
165 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Securing, scaling, and maintaining the cloud infrastructure powering computer vision products, including databases, storage, search clusters, microservices, and machine learning pipelines with an accent on reliability, security, and cost-efficient delivery. Focus on operating high-availability ML inference services, building infrastructure as code, improving observability, responding to incidents, and meeting SOC 2, HIPAA, and GDPR requirements.
Location: New York City, San Francisco, or remote. The role primarily operates during daytime hours in the US and includes some synchronous weekly meetings. In-person onboarding with the manager and company on-sites are expected.
Salary: USD $165,000–$200,000 base annually.
Company
builds open-source and hosted computer vision and machine learning tools used by more than one million developers.
What you will do
- Secure, scale, and maintain cloud architecture, databases, file storage, search clusters, microservices, and machine learning pipelines.
- Run and optimize high-availability machine learning inference services.
- Build infrastructure-as-code solutions and improve platform cost efficiency.
- Define SLOs and SLAs, participate in incident response and on-call rotations, and improve observability and alerting.
- Collaborate with product, operations, engineering, and customer security teams on integrations, onboarding, and product delivery.
- Fix vulnerabilities and bugs and harden systems for SOC 2, HIPAA, and GDPR readiness.
Requirements
- Production experience building and managing containerized applications with Kubernetes.
- Experience with Terraform, Helm charts, Bash scripting, and Python for infrastructure automation.
- Experience operating and scaling large-scale applications, particularly ML or AI systems, in AWS and/or GCP.
- Proficiency in Node.js and Python and the ability to collaborate with full-stack developers on SaaS applications.
- Hands-on experience with ML infrastructure, including GPUs, Docker, and Kubernetes, plus familiarity with PyTorch or TensorFlow.
- Experience with CI/CD automation and awareness of cloud security practices in startup environments.
Nice to have
- Experience using GitHub Actions or Spacelift.
- Experience building with or contributing to open-source development, infrastructure, or security projects.
Culture & Benefits
- High-autonomy environment focused on ownership, accountability, practical execution, and continuous improvement.
- Flexible scheduling with support for collaborative and asynchronous work.
- Remote work, company hubs, co-working spaces, and opportunities to work in person with colleagues.
- $4,000 annual travel stipend and $350 monthly productivity stipend.
- Health insurance coverage of up to 100% for the employee and partner or family.
- Company equity.
Hiring process
- Application review, with a technical screen if applicable.
- 45-minute hiring-manager introduction, followed by a 45-minute CTO interview and a 90-minute hands-on technical infrastructure interview.
- Final culture and leadership discussions, reference checks, and a background check.
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