At a Glance
- Tasks: Design and build platform applications for large-scale AI infrastructure using Python and Kubernetes.
- Company: Join a cutting-edge tech company focused on AI infrastructure in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Be at the forefront of AI technology and make a real impact on infrastructure development.
- Qualifications: Strong Python and Kubernetes experience, with a practical engineering mindset.
The predicted salary is between 60000 - 80000 £ per year.
We are hiring a Platform Engineer to help build and evolve the software platform behind large scale AI infrastructure. This is a hands-on engineering role for someone who can write strong Python, work deeply with Kubernetes, design and build platform applications, and operate close to bare metal infrastructure. You will help build the systems that make GPU compute easier to provision, operate, secure and scale across AI infrastructure environments. This is not a generic DevOps role. We are not looking for someone who has only maintained pipelines, written Terraform or managed cloud services. We need someone who can build real platform software and understands the infrastructure it runs on.
What you will do:
- Design and build platform applications, APIs and services
- Write production grade Python for infrastructure and platform use cases
- Work with Kubernetes to build scalable platform capabilities
- Design and build Kubernetes operators and controllers across compute, storage and networking
- Build tooling that improves how bare metal and GPU infrastructure is provisioned, operated and monitored
- Translate operational pain points into scalable platform features
- Improve platform reliability, observability and performance
- Work across Linux, networking, storage and distributed systems
- Collaborate with product, security, infrastructure, networking and compute teams
- Help build the platform layer for AI infrastructure designed to operate at industrial scale
What we are looking for:
- Strong Python engineering experience
- Strong hands-on Kubernetes experience
- Experience designing and building applications, APIs, services or internal platform tooling
- Bare metal infrastructure experience
- Strong Linux systems experience
- Good understanding of networking, storage and distributed systems
- Experience building production grade systems with proper testing, CI/CD, code reviews and clean engineering standards
- A practical engineering mindset and the ability to solve real infrastructure problems through software
Preferred experience:
- Experience building Kubernetes operators, CRDs or controllers
- Exposure to GPU infrastructure, HPC or high performance compute
- Experience with Go or Rust
- Knowledge of confidential computing, including TEE, SEV, TDX or CoCo
- Experience with Ceph or distributed storage systems
- Familiarity with Prometheus, Grafana or OpenTelemetry
- Experience with BGP, RDMA or high performance networking
- Exposure to NVIDIA GPU infrastructure or bare metal cloud environments
Why this role matters:
AI infrastructure is constrained by the ability to deliver reliable compute at scale. This role sits in the platform layer that connects software engineering with real infrastructure. You will help build systems that run close to the metal, across Kubernetes, Linux, networking, storage and GPU compute. This is a role for someone who wants to build the infrastructure layer behind AI, not just operate tools around it.
Platform Engineer (AI Infrastructure). Job in London Move Collective Jobs employer: Broughton Group
At Move Collective, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Platform Engineer in London, you will have the opportunity to work on cutting-edge AI infrastructure, with access to continuous learning and professional development opportunities. Our commitment to employee growth, coupled with a dynamic environment that encourages creativity and problem-solving, makes us an ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer (AI Infrastructure). Job in London Move Collective Jobs
✨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 Broughton Group 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 Broughton Group.
✨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 Broughton Group.
✨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 Broughton Group 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 Platform Engineer (AI Infrastructure). Job in London Move Collective Jobs
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 Broughton Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Broughton Group 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 Broughton Group
✨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 Broughton Group 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.
