Roboflow
Infrastructure Engineer
NY, SF or Remote . Posted a month ago
The role
You will secure, scale, and maintain core infrastructure including cloud architecture, databases, and machine learning pipelines. You will act as an infrastructure engineer, developer, and security analyst to support product, operations, and customer-facing projects.
What you will do
- Secure, scale, and maintain core infrastructure
- Run and optimize high-availability machine learning inference services
- Collaborate with customer security teams for secure integration
- Develop creative IaC solutions to scale the platform cost-effectively
- Work with the engineering team to define SLOs/SLAs
- Participate in incident response
- Improve the Observability and Alerting stack
- Identify and act on cost-optimization opportunities
- Contribute code for new product features
- Fix security vulnerabilities and bugs
Required qualifications
- Production experience with Kubernetes
- Infrastructure-as-Code (IaC) using Terraform, Helm charts, bash scripting, and Python
- Experience operating, monitoring, and scaling large-scale applications in AWS and/or GCP
- Proficiency in Node.js and Python
- Hands-on experience with infrastructure for machine learning at scale (GPUs, Docker, Kubernetes)
- Familiarity with libraries like PyTorch or Tensorflow
- Experience with CI/CD automation tools like GitHub Actions or Spacelift
- Awareness of security best practices for cloud operations
Nice to have
- Early tinkerer with MLOps products
- Meaningful contributions to successful open source devtool and security projects
- Writing about something built with Roboflow
- Contributing to Roboflow open source projects
Benefits
- $4000/yr Travel Stipend
- $350/mo Productivity stipend
- Cover up to 100% of health insurance costs for you and your partner or family
- Equity in the company
- Relocation bonus for Hubs
Before you apply
- We check references
- We conduct a background check
- We may send you a technical screen
About the company
Roboflow simplifies building and using computer vision models. The company is a distributed team supported by investors including Y Combinator and Google Ventures.