Cloud Infrastructure Engineer (City of London)

Who We Are

At 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 .

Location and Legalities

This 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 Do

As 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 .
• Designing, building, and maintaining our CI/CD pipelines using GitHub Actions to ensure smooth and reliable software delivery.
• Containerizing applications with 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 .
• 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 Experience

• 5+ 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 Required

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values . Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Compensation and Benefits

• Competitive 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 remote
• Generous 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.