Infrastructure Engineer

🕒 May 20

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $165k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Roboflow

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

Artificial Intelligence • Software • Computer Vision

Roboflow is a comprehensive platform designed for developers to build and deploy computer vision applications. Offering tools for image annotation, model training, and deployment, it supports a collaborative workflow optimized for speed and efficiency. With over 16,000 organizations using Roboflow, including more than half of the Fortune 100, the platform provides a streamlined process for creating datasets, training models, and integrating AI solutions across various industries.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• $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