Infrastructure Engineer Engineering NY, SF, or Remote

Who We Are

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 Git Hub 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 Dev Ops 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

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…