Cloud Infrastructure Engineer

Ultralytics LLC; City of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading AI company in London seeks a Cloud Infrastructure Engineer to design and maintain robust cloud infrastructure. This full-time role involves collaborating closely with engineers to support AI solutions, requiring expertise in Python and Google Cloud Platform. The ideal candidate has over 5 years of experience and thrives in a high-performance environment. Competitive salary and hybrid working options are available.

Benefits

Competitive Salary

Startup Equity

Hybrid Flexibility

Generous Time Off

Flexible Hours

Cutting-edge Tech

Brand-new Equipment

Supportive Team

Qualifications

• 5+ years of experience in Cloud Infrastructure, DevOps, or Site Reliability Engineering.
• Strong proficiency with Python for scripting and automation.
• Expertise in writing production-grade Infrastructure as Code using Terraform.
• Deep understanding of containerization with Docker and Kubernetes.

Responsibilities

• Design and maintain cloud infrastructure on Google Cloud Platform using Terraform.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Collaborate with AI and backend engineers to enhance MLOps lifecycle.
• Monitor system health and costs, identifying and optimizing bottlenecks.

Skills

Cloud Infrastructure

Python

Google Cloud Platform (GCP)

Terraform

Docker

Kubernetes

CI/CD Pipelines

GitHub Actions

Networking Principles

Cloud Security

Tools

Google Cloud Run

Prometheus

Grafana

AWS

Microsoft Azure

Job description

Overview

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 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 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.
• 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.

Culture and Expectations

🌟 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Engineering, Product Management, and Information Technology

Industries

• Software Development and Information Services