Infrastructure Engineer

Bazeta; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Roboflow is hiring a Senior Infrastructure Engineer in the United States with remote work options. You’ll own the core cloud infra, Kubernetes clusters, and ML/AI pipelines, balancing rapid delivery with reliability and strong security.

You’ll build scalable IaC, collaborate across teams, and improve observability, cost efficiency, and incident response. Expect on-call rotations and ongoing security hardening.

Qualifications

• Production Kubernetes experience at scale.
• IaC using Terraform, Helm, Bash, and Python.
• Experience with ML/AI infra on AWS/GCP.
• Proficiency in Node.js and Python.
• ML/Big Data ops with GPUs, Docker, Kubernetes.
• CI/CD with GitHub Actions or Spacelift.
• Understanding cloud security best practices for startups.
• AI-native engineering leveraging LLMs to accelerate dev.

Responsibilities

• Secure, scale, and maintain Roboflow's core infra and services.
• Collaborate with product teams on secure integration and reliability.
• Develop and implement cost-effective IaC solutions.
• Define and monitor SLOs/SLAs; participate in incident response.
• Improve observability, alerting, and security across stack.
• Contribute code (Python/JS) for new features.
• Hardening systems to meet SOC 2, HIPAA, GDPR requirements.
• Participate in on-call rotations to ensure reliability.

Skills

Kubernetes

IaC

Terraform

Helm

Bash scripting

Python

Node.js

PyTorch

TensorFlow

Docker

AWS

GCP

GitHub Actions

Spacelift

Security best practices

AI-native engineering

Tools

Spacelift

GitHub Actions

Docker

Job description

# Infrastructure EngineerUnited States2 hours agoID 4589558Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: RoboflowLevel: Senior## DescriptionWho 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. What We're Looking For 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 . Likewise we highly value users with meaningful contributions to successful open source devtool and security projects. What You'll Do 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. Skillset We're looking for a versatile engineer excited by high-impact challenges. At Roboflow, we are AI-native: we expect our team to use AI to accelerate everything from writing code and fixing bugs to analyzing security, cost, and performance. Experience in some or all of the following areas will be crucial: • 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. A Glimpse of Your Work No two days will be the same. Your tasks will be a blend of strategic projects and hands-on implementation. Examples include: • 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. Within one week, you will... • 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. Within one month, you will...... Source: Jobicy (https://jobicy.com/jobs/158274-infrastructure-engineer-6)This listing comes from a partner feed. Apply on the source website.