Infrastructure Engineer

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.

Roboflow is supported by great customers and investors, having raised over 63 million from Y Combinator, Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

Roboflowers love building great things with passionate teammates. We value ownership, accountability, and a bias toward action—whether it's a big initiative or a small fix. You’re naturally curious, hands-on with new tech (maybe even played with ChatGPT or AI products early on), and prefer to show your work over talking about it. Many of us have founder mindsets and thrive in Roboflow’s high-autonomy environment—some even started as side hustlers in school.

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. This isn't a traditional, siloed role; you'll need to wear many hats—acting as an infrastructure engineer one moment, and a developer, or even a security analyst.

You will be securing, scaling, and maintaining the core infrastructure that powers our product. This includes our cloud architecture, databases, file storage, search clusters, microservices, and machine learning pipelines. You'll work closely with our product team and collaborate across the company on product, operations, and customer-facing projects, constantly context-switching to solve the next critical challenge.

In this role, you will:

• Design, secure, and maintain cloud infrastructure powering production SaaS and ML workloads across AWS and/or GCP

• Build and operate scalable, containerized applications using Kubernetes, Helm, and Docker

• Develop and manage infrastructure-as-code solutions using Terraform, Bash, and Python

• Work directly with customers and internal teams to meet security, compliance, and reliability requirements (SOC 2, HIPAA, GDPR)

• Improve observability, reliability, and on-call processes, including SLO/SLAs and incident response

• Automate CI/CD workflows with tools like GitHub Actions and Spacelift

• Contribute code (Python, Node.js) to product features and platform infrastructure

• Identify and act on cost-optimization opportunities across the tech stack

• Experience: 5+ years of hands-on infrastructure or DevOps engineering experience, ideally in fast-paced or startup environments

• Cloud & Containers: Strong experience with AWS or GCP, Kubernetes in production, Docker, and Helm

• Infrastructure as Code: Proficient with Terraform, scripting (e.g. Bash), and Python for automation

• Software Development: Comfortable reading and contributing to application code (Node.js, Python)

• Security-Minded: Familiar with security best practices and compliance standards (SOC 2, HIPAA, etc.) in cloud-native environments

• Startup Versatility: Thrives in high-ownership environments where priorities shift quickly; able to balance speed with long-term reliability

• Collaborative Communicator: Experience working cross-functionally with developers, product teams, and customers

• Preferred Background: Experience in early- to mid-stage startups, especially those with AI/ML infrastructure or SaaS platforms

Click here for more information and to see what to expect during the interview process for the Infrastructure Engineer role.

To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.

💰 The target compensation for this role is $180,000-$225,000 base. Each full time Roboflower will receive an equity package- so we are all invested in the future of computer vision.

📈 In addition to our cash compensation, we offer generous perks and benefits. Below are some of the highlights:

• $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

• Remote first/flexible schedule allowing you to work collaboratively with other team members and asynchronously

• Unlimited PTO- with an annual 2 week minimum, we encourage you to take time off for yourself

• 12 weeks parental leave

We want a diverse, global team with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, we encourage you to reach out to us at [email protected] or subscribe to our career newsletter by emailing "Subscribe" to [email protected]. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Equal Employment Opportunity

At Roboflow, we believe great ideas come from everywhere—and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.

Our recruiter, Sarah is a real live human and she’s looking forward to reading your application 👋