Job Title

Who We AreAt Ultralytics, we relentlessly drive innovation in AI, building the world's leading Ultralytics YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI.The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. Location and LegalitiesThis full-time Cloud Infrastructure Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship. What You'll DoAs a Cloud Infrastructure Engineer at Ultralytics, you will design, build, and maintain the scalable and robust cloud infrastructure that powers our entire suite of AI services, including the Ultralytics HUB. You'll be at the core of our operations, ensuring our systems can handle the demands of training cutting-edge AI models and serving millions of inference requests globally. Key responsibilities include:Architecting and managing our cloud environment on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) with Terraform.Designing, building, and maintaining our CI/CD pipelines using GitHub Actions to ensure smooth and reliable software delivery.Containerizing applications with Docker and deploying them as microservices on serverless platforms like Google Cloud Run and orchestrators like GKE.Writing automation scripts and infrastructure-related code, primarily in Python.Ensuring the high availability, performance, and security of our production systems that support everything from data processing to model deployment.Collaborating closely with AI and backend engineers to streamline the MLOps lifecycle and build a world-class platform for computer vision.Monitoring system health and costs, proactively identifying bottlenecks and implementing optimizations.Your expertise will be critical to the stability and scalability of Ultralytics' solutions, enabling our team to innovate at an unprecedented pace. Skills and Experience5+ years of experience in a Cloud Infrastructure, DevOps, or Site Reliability Engineering (SRE) role.Strong proficiency with Python for scripting and automation.Extensive hands-on experience with Google Cloud Platform (GCP) and its core services (Cloud Run, GKE, IAM, Cloud Storage).Expertise in writing production-grade Infrastructure as Code using Terraform.Deep understanding of containerization with Docker and container orchestration with Kubernetes.Proven experience designing and operating microservices architectures, as described by thought leaders like Martin Fowler.Hands-on experience building and maintaining complex CI/CD pipelines, preferably with GitHub Actions.Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Google Cloud's operations suite).A solid understanding of networking principles and cloud security best practices.Experience with other cloud platforms like Amazon Web Services (AWS) or Microsoft Azure is a plus. Cultural Fit - Intensity RequiredUltralytics is not your typical workplace; this is a high-pressure startup environment demanding extraordinary dedication, relentless hustle, and an insatiable hunger for excellence. Our team works exceptionally long hours. We expect you to thrive under intense pressure, embrace extreme accountability, and possess an unstoppable drive to succeed at any cost. If you seek comfort, routine, or a balanced lifestyle, this is not the place for you. Only those truly excited about diving headfirst into the grind, fully committed to shaping the future of AI, should apply. Compensation and BenefitsCompetitive Salary: Highly competitive based on experience.Startup Equity: Participate directly in our company's growth and success.Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remoteGenerous Time Off: 24 days vacation, your birthday off, plus local holidays.Flexible Hours: Tailor your working hours to suit your productivity.Tech: Engage with cutting-edge AI projects.Gear: Brand-new Apple MacBook and Apple Display provided.Team: Become part of a supportive and passionate team environment.If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. Check out our careers page to apply.