Infrastructure Engineer

Job description

Job responsibilities

• Attend your first all company onsite
• Be ramped up on other relevant parts of the Roboflow product.

Job 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.