Infrastructure Engineer

Summary

Roboflow builds tools and resources for making the world programmable with artificial intelligence, including computer vision models and machine learning tools. The Infrastructure Engineer will secure, scale, and maintain core cloud infrastructure, databases, storage, search clusters, microservices, and machine learning pipelines while balancing rapid delivery, reliability, and security.

Responsibilities

• Securing, scaling, and maintaining the core infrastructure that powers our product
• Running and optimizing a high-availability machine learning inference service
• Collaborating with customer security teams to ensure secure integration
• Developing creative IaC solutions to scale our platform cost-effectively
• Working with the engineering team to define SLOs/SLAs and participating in incident response
• Improving the Observability and Alerting stack and the processes built around it
• Diving deep into our stack to identify and act on cost-optimization opportunities
• Contributing code (Python, JavaScript, etc.) as part of a team designing and deploying new product features
• Fixing security vulnerabilities and bugs
• Hardening our systems and processes to meet SOC 2, HIPAA, and GDPR requirements, making us audit-ready
• Participating in an on-call rotation to ensure platform reliability
• Learn all about computer vision, our product, company, customers, and vision
• Ship something substantial to an end user
• Start learning our infrastructure and security practices
• Onboard in person with your manager
• Build your first computer vision project with Roboflow (if you haven't already)
• Start contributing to infra-as-code
• Start working with customers to help with their security questions and onboarding
• Understand the architecture of Roboflow
• Attend your first all company onsite
• Be ramped up on other relevant parts of the Roboflow product

Skills

• Primarily, you like to make great things with passionate colleagues
• You are someone that likes to own outcomes, not only inputs
• You're motivated by having responsibility and accountability
• You're eager to ‘do the work,' big and small
• You're curious and learning about new technologies, perhaps an early tinkerer with MLOps products
• You show more than you tell
• You're motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role
• Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow
• Maybe you had a side hustle in high school or college
• Many Roboflowers have used our tools before joining
• One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our[open source projects](https://roboflow.com/open-source)
• Likewise we highly value users with meaningful contributions to successful open source devtool and security projects
• We're looking for a versatile engineer excited by high-impact challenges
• 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
• Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you'll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed
• You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

Qualifications

Must Haves

• Primarily, you like to make great things with passionate colleagues
• You are someone that likes to own outcomes, not only inputs
• You're motivated by having responsibility and accountability
• You're eager to ‘do the work,' big and small
• You're curious and learning about new technologies, perhaps an early tinkerer with MLOps products
• You show more than you tell
• You're motivated by the question, “How can I improve this?” and have a track record of doing so, even in ways adjacent to your role
• Much of our current team is made up of former founders and thrive in the level of autonomy at Roboflow
• Maybe you had a side hustle in high school or college
• Many Roboflowers have used our tools before joining
• One of the best ways to stand out amongst other applicants is to write about something you have built with Roboflow or contribute to one of our[open source projects](https://roboflow.com/open-source)
• Likewise we highly value users with meaningful contributions to successful open source devtool and security projects
• We're looking for a versatile engineer excited by high-impact challenges
• 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
• Roboflow primarily operates during the daytime hours in the US and there are some synchronous meetings you'll be expected to attend each week. Apart from that, we have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed
• You can work from one of our Hubs (we offer a relocation bonus), work from home, work at co-working spaces, etc. We want you to work where you work best!

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
• We offer a relocation bonus
• You can work from one of our Hubs, work from home, work at co-working spaces, etc.
• We have a flexible schedule that allows you to work collaboratively with other team members and asynchronously when needed.