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For Companies At a Glance
- Tasks: Design and maintain cloud infrastructure for AI services, ensuring high performance and security.
- Company: Ultralytics is a leading AI innovator, focused on building cutting-edge YOLO models.
- Benefits: Enjoy hybrid work flexibility, competitive salary, generous time off, and the latest tech gear.
- Why this job: Join a high-energy team dedicated to pushing the boundaries of AI and making a global impact.
- Qualifications: 5+ years in Cloud Infrastructure or DevOps, strong Python skills, and GCP expertise required.
- Other info: This role demands exceptional dedication; it's not for those seeking predictable comfort.
The predicted salary is between 43200 - 72000 £ per year.
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.
- 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, 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.
Cloud Infrastructure Engineer (City of London) employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Infrastructure Engineer (City of London)
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its core services, especially Cloud Run and GKE. Consider building a small project that showcases your skills in these areas, as practical experience can set you apart during discussions.
✨Tip Number 2
Engage with the AI community by participating in forums or attending meetups related to cloud infrastructure and machine learning. Networking with professionals in the field can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with Infrastructure as Code (IaC) using Terraform. Be ready to share specific examples of how you've implemented IaC in past projects, as this is a key responsibility for the role.
✨Tip Number 4
Showcase your understanding of CI/CD pipelines, particularly with GitHub Actions. Consider creating a demo pipeline for a personal project to demonstrate your ability to streamline software delivery effectively.
We think you need these skills to ace Cloud Infrastructure Engineer (City of London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Cloud Infrastructure Engineer position at Ultralytics. Tailor your application to highlight relevant experience in cloud infrastructure, DevOps, and AI.
Highlight Relevant Skills: Emphasise your proficiency with Google Cloud Platform (GCP), Python scripting, and Infrastructure as Code (IaC) using Terraform. Mention any experience with CI/CD pipelines, Docker, and Kubernetes, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your alignment with Ultralytics' mission. Discuss how your background and skills can contribute to their innovative projects and high-performance environment.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which is essential in a high-stakes role like this.
How to prepare for a job interview at Ultralytics
✨Showcase Your Cloud Expertise
Make sure to highlight your hands-on experience with Google Cloud Platform (GCP) and its core services. Be prepared to discuss specific projects where you've architected cloud environments or built CI/CD pipelines using GitHub Actions.
✨Demonstrate Your Coding Skills
Since Python scripting is crucial for this role, be ready to share examples of automation scripts you've written. You might even want to prepare a small coding exercise to demonstrate your proficiency during the interview.
✨Understand the Company Culture
Ultralytics thrives in a high-performance environment, so convey your passion for innovation and your ability to work under pressure. Share experiences that reflect your dedication and commitment to achieving extraordinary results.
✨Prepare for Technical Questions
Expect in-depth technical questions about containerization with Docker, Infrastructure as Code with Terraform, and microservices architecture. Brush up on these topics and be ready to explain your thought process and decision-making in past projects.
