At a Glance
- Tasks: Design and maintain high-performance storage systems for AI workloads in a collaborative environment.
- Company: Join CommonAI CIC, a non-profit focused on responsible AI development.
- Benefits: Enjoy a competitive salary, pension, and professional development opportunities.
- Other info: Network with industry leaders in a vibrant office near Cambridge station.
- Why this job: Make a real impact in the AI sector while working with cutting-edge technologies.
- Qualifications: Experience with Linux, distributed storage, and automation scripting is essential.
The predicted salary is between 63000 - 77000 £ per year.
CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to co-develop and grow businesses, fast. We support technology-focused start-ups, each with unique data management challenges, and are seeking an experienced Infrastructure Engineer to help them design, deploy and maintain high-performance storage systems for their AI and data-driven workloads.
The successful candidate will combine deep experience architecting and managing distributed, cloud, and tiered storage solutions with strong Linux and automation skills. In this role you will:
- Design, implement, and maintain storage platforms that support large-scale AI and data pipelines
- Manage distributed storage systems such as Ceph, Lustre, or BeeGFS
- Oversee tiered storage architectures, optimising data movement across high-performance, object, and archival tiers
- Ensure data integrity, availability, and security across on-premises and cloud environments
- Develop automation and monitoring tools using Bash, Python, or similar scripting languages
- Manage and secure container images and related storage used for AI and ML workloads
- Integrate storage systems with public cloud services (AWS, Azure, GCP) and hybrid environments
- Troubleshoot complex storage and data flow issues, collaborating closely with AI platform and infrastructure teams
- Contribute to ongoing architecture improvements, performance tuning, and capacity planning
Requirements
- Strong Linux system administration background
- Proven experience installing, configuring, and maintaining Ceph clusters or similar technologies in a production environment
- Familiarity with distributed filesystems (e.g., Lustre, BeeGFS) and cloud-based storage services (e.g. EC2)
- Experience with tiered storage management and lifecycle data policies
- Scripting and automation proficiency (e.g. Bash, Python, Terraform/OpenTofu, Ansible)
- Understanding of data security best practices and compliance considerations
- Experience working with container technologies (e.g. Docker, Kubernetes) and image storage registries
- Strong analytical, troubleshooting, communication and documentation skills
We also value:
- Knowledge of GPU compute environments or AI training infrastructure
- Experience with monitoring and observability tools (Prometheus, Grafana, etc.)
- Contributions to open-source storage, data management, or infrastructure projects
- Familiarity with object storage systems (S3, RADOS Gateway, MinIO, etc.)
Benefits
- A collaborative and supportive work environment
- The opportunity to have a high impact in a growing organisation
- Competitive salary package and pension
- Professional development opportunities
- Networking opportunities with influential people from across the tech sector and academia
- A vibrant office environment located a few minutes walk away from Cambridge train station
CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
AI Infrastructure Engineer (Storage) in Cambridge employer: CommonAI CIC
CommonAI CIC is an exceptional employer, offering a collaborative and supportive work environment where you can make a significant impact in the rapidly evolving field of AI technology. Located just minutes from Cambridge train station, our vibrant office fosters professional development and networking opportunities with influential figures across the tech sector and academia, making it an ideal place for those looking to grow their careers while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Infrastructure Engineer (Storage) in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CommonAI CIC or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CommonAI CIC.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CommonAI CIC.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CommonAI CIC that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Infrastructure Engineer (Storage) in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CommonAI CIC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CommonAI CIC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CommonAI CIC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CommonAI CIC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
