Infrastructure Engineer

🕒 Maio 20

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Roboflow

Roboflow

11 - 50 funcionários

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

Consulting • Marketing • Artificial Intelligence

Roboflow é uma plataforma abrangente criada para desenvolvedores construírem e implantarem aplicações de visão computacional. Oferecendo ferramentas para anotação de imagens, treinamento de modelos e implantação, suporta um fluxo de trabalho colaborativo otimizado para velocidade e eficiência. Com mais de 16. 000 organizações utilizando Roboflow, incluindo mais da metade da Fortune 100, a plataforma proporciona um processo simplificado para criar conjuntos de dados, treinar modelos e integrar soluções de IA em diversas indústrias.

Descrição

• As a member of our infrastructure team, you'll be at the heart of a fast-paced startup environment. • Your primary focus will be on striking the right balance between rapid delivery, high reliability, and robust security. • You will be securing, scaling, and maintaining the core infrastructure that powers our product. • Collaborate closely with our product team and across the company on product, operations, and customer-facing projects.

🎯 Requisitos

• Production experience with Kubernetes: Building and managing containerized applications at scale. • Infrastructure-as-Code (IaC): Using Terraform, Helm charts, bash scripting, and Python to automate everything. • Scale & Site Reliability: Operating, monitoring, and scaling large-scale applications (especially in ML/AI) in AWS and/or GCP. • Development Skills: Proficiency in Node.js and Python, with the ability to collaborate with full-stack developers on designing and operating SaaS applications. • ML/Big Data Ops: Hands-on experience with the infrastructure required for machine learning at scale (GPUs, Docker, Kubernetes) and familiarity with libraries like PyTorch or Tensorflow. • CI/CD Automation: Experience with tools like GitHub Actions or Spacelift to build and deploy code efficiently. • Pragmatic Security: Awareness of security best practices for cloud operations and how they can be applied to startup environments. • AI-Native Engineering: Leveraging LLMs and AI tools to accelerate the development lifecycle—from writing and refactoring code to identifying security vulnerabilities and optimizing infrastructure costs.

🏖️ Benefícios

• $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers • $350/mo Productivity stipend to spend on things that make your work environment more productive, like high-speed internet at home or a co-working space • Cover up to 100% of your health insurance costs for you and your partner or family • Equity in the company so we are all invested in the future of computer vision

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