[All remote jobs](https://jobicy.com/jobs.md)[![Roboflow logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/8cd75e4b-221.webp)](https://jobicy.com/company/roboflow.md)[Roboflow](https://jobicy.com/company/roboflow.md) # Infrastructure Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/roboflow.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 180k–230k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views62Application actions6Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Roboflow is seeking an Infrastructure Engineer to secure, scale, and operate the cloud platform behind its computer-vision products. The role spans Kubernetes, AWS/GCP, Terraform, CI/CD, observability, incident response, and infrastructure for ML workloads using GPUs. The engineer will also contribute Python and JavaScript code, collaborate with customer security teams, and help meet SOC 2, HIPAA, and GDPR requirements. This is a high-autonomy startup position with on-call participation, frequent context switching, and a strong emphasis on rapid, reliable delivery. The role supports remote work in the United States but includes an in-person onboarding requirement. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a broad senior-level infrastructure role requiring production ownership across reliability, security, cloud architecture, ML operations, and software development. The high-impact startup environment, on-call rotation, and need to balance speed with security make the role especially demanding. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$205,000US market range (per year)$175k–$250k0$275k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Employer target base compensation is $180,000–$230,000 USD per year, with a midpoint of $205,000. The yearly cadence is inferred because the posting states base compensation but does not explicitly name a pay period; this is the standard cadence for a US full-time infrastructure engineering role. Estimated US market compensation for a comparable senior infrastructure/DevOps role is $175,000–$250,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Node.js](https://jobicy.com/jobs?search_keywords=Node.js.md)[Docker](https://jobicy.com/jobs?search_keywords=Docker.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md)[GitHub Actions](https://jobicy.com/jobs?search_keywords=GitHub%20Actions.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)[Cloud Security](https://jobicy.com/jobs?search_keywords=Cloud%20Security.md) Sample interview questionsHow would you design a highly available Kubernetes-based inference platform for computer-vision workloads?I would separate stateless inference services from stateful dependencies, deploy workloads across availability zones, and use autoscaling based on GPU, CPU, latency, and queue-depth signals. I would implement health checks, rolling deployments, resource limits, model versioning, and resilient storage and database patterns. Metrics, tracing, logs, and tested rollback procedures would be built in from the start. Describe how you would approach infrastructure-as-code for a fast-moving startup platform. I would use Terraform for cloud resources and reusable modules, with Helm or GitOps patterns for Kubernetes deployments. Pull-request review, automated plans, policy checks, and isolated environments would reduce risk while keeping delivery fast. I would prioritize clear ownership, minimal duplication, secure secret handling, and incremental improvements over unnecessary platform complexity. How do you balance rapid delivery with security and compliance requirements such as SOC 2, HIPAA, and GDPR? I treat security controls as engineering defaults rather than a late-stage audit exercise. This includes least-privilege access, encryption, audit logging, vulnerability management, backups, retention controls, and documented incident procedures. I would automate evidence collection and focus first on controls that materially reduce risk without blocking product delivery. What signals would you use to identify and address infrastructure cost optimization opportunities? I would combine cloud billing data with workload metrics, utilization, request patterns, and unit-cost measures such as cost per inference. Common opportunities include right-sizing nodes, improving autoscaling, using appropriate storage tiers, eliminating idle resources, and optimizing GPU scheduling. Changes should be measured against reliability and latency SLOs so cost reductions do not harm customers. Tell us how you would handle a production incident affecting a critical ML inference service. I would first assess customer impact, stabilize the service through rollback, failover, scaling, or traffic controls, and communicate a clear incident status. I would use dashboards, logs, traces, and recent deployment history to isolate the cause while assigning owners for mitigation tasks. After recovery, I would lead a blameless review with concrete follow-up actions, such as improved alerts, tests, runbooks, or capacity safeguards. Opportunity details ## About this role. ### 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](https://blog.roboflow.com/cancer-research-computer-vision/) to accelerate cancer research, improving[construction site safety](https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/),[digitizing floor plans](https://blog.roboflow.com/floor-plan-analysis-computer-vision/),[preserving coral reef populations](https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/),[guiding drone flight](https://blog.roboflow.com/georeferencing-drone-videos/), and[much more](https://roboflow.com/templates). 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](https://roboflow.com/open-source).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… * 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 📅 Within six months, you will… * Attend your first all[company onsite](https://blog.roboflow.com/remote-company-onsite-ideas/) * Be ramped up on other relevant parts of the Roboflow product. ### Who You’ll Be Working With Our team of ~100 attracts talent like executives that wanted to return to building, founders with a 100M+ exit, Roboflow users turned team members, open source contributors, a cyclist who biked across the United States, prolific high school hackers, a CTO from 100+ engineering organization, amongst many exceptional others. You will directly be working with our Engineering Lead and a team of product, infrastructure and security engineers. ### Where You’ll Work Roboflow is distributed across the US and Europe. We currently have Hubs in New York City and San Francisco (and plan to open more as we grow density in new cities). We provide opportunities (like team on-sites in different cities) and[resources](https://blog.roboflow.com/how-we-work-together-at-roboflow/) (like a $4000/yr travel stipend) to work in person with other team members as much as you’d like, while also supporting remote team members. 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! ### When You’ll Work 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. What You’ll Receive 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 USD $180,000 base – $230,000 base. 📈 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 * Equity in the company so we are all invested in the future of computer vision ### Interview Process (~5 hours) Below is the interview process you can expect for this role. You will be speaking directly with our team about what it’s like to work and thrive at Roboflow. Before the Interview: * We’ll review your application, LinkedIn, Github, etc. * The best way to stand out is to write about something you’ve built with Roboflow or contribute to one of[our open source projects](https://roboflow.com/open-source), or highlight your contributions to devtools/infrastructure/security engineering open-source projects. * We may send you a technical screen if applicable. Introduction Phase: * [45m] Meet with hiring manager for introduction, Sachin Agarwal, to assess overall mindset and skillset. This first interview is a time to get to know more about the role, allow us to get to know you better, and ensure it’s a good fit for both parties to continue moving forward in the process Team Interview Phase: * [45m] Meet with our CTO, Brad Dwyer * [90m] Meet with hiring manager and team for a technical infrastructure hands-on interview Ask questions! Final Interview Stage: * [45m] Meet with Kate Wagner, Head of Operations for a culture discussion * [60m] Meet with Joseph Nelson, CEO * We check references and conduct a background check Note: you are welcome to request additional conversations with anyone you would like to meet and we will accommodate as best we can. ### Learn More About Us We are building a diverse [Distributed team](https://blog.roboflow.com/how-we-work-together-at-roboflow/) that is distributed across the globe. Roboflow is an equal opportunity workplace; we welcome people from all backgrounds, communities, and experiences. We provide competitive compensation and stellar benefits to accelerate your personal and work life. Learn more about what it is like to work at Roboflow by reading[these blog posts.](https://blog.roboflow.com/tag/working-at-roboflow/) See our[careers page](https://roboflow.com/careers) for all open listings. 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