At a Glance
- Tasks: Lead and build cutting-edge AI infrastructure with a focus on bare metal and GPU provisioning.
- Company: Stealth AI infrastructure company at the forefront of GPU compute technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Exciting early-stage opportunity with serious backing and ambitious goals.
- Why this job: Join a pioneering team solving complex technical challenges in AI infrastructure.
- Qualifications: Experience in bare metal, GPU deployment, and strong coding skills in Python, Golang, or Rust.
The predicted salary is between 80000 - 100000 £ per year.
We are hiring for a rare platform engineering leadership role with a stealth AI infrastructure company building at the frontier of GPU compute. This is not a normal cloud role. This is for someone who understands how real infrastructure works underneath the platform layer.
Kubernetes, bare metal, GPU provisioning, networking, production software and the operational reality of running high performance compute at scale. The company is building the platform layer for industrial scale AI infrastructure. The type of infrastructure that will support the next generation of AI workloads across enterprise, government, research and frontier AI.
We are looking for someone who can lead, but still build. Someone who can write production grade code. Someone who has developed platforms based on Kubernetes. Someone who has worked close to bare metal infrastructure. Someone who understands GPU provisioning or deploying workloads across GPU environments. Someone who can talk properly about networking, clusters and how the platform actually runs.
The key experience we need:
- Bare metal cloud or bare metal infrastructure
- GPU provisioning or GPU deployment
- Strong networking knowledge across clusters
- Production grade coding in Python and Golang or Rust
- Linux and distributed systems experience
- Experience leading technical work or mentoring strong engineers
- Bare metal experience is essential.
A lot of people have cloud and Kubernetes experience. Far fewer have true bare metal experience. That is the point we will need to understand properly. This will suit someone from GPU cloud, AI infrastructure, HPC, managed Kubernetes, bare metal cloud, hyperscale infrastructure or deep platform engineering environments. This is an early stage opportunity, but with serious backing, serious ambition and a genuinely hard technical problem to solve.
Team Lead, Platform Engineering employer: Stealth AI Startup
Join a pioneering AI infrastructure company that offers an exceptional work environment where innovation meets expertise. As a Team Lead in Platform Engineering, you will thrive in a culture that values technical excellence and collaboration, with ample opportunities for professional growth and mentorship. Located at the forefront of GPU compute technology, this role not only allows you to lead and build cutting-edge solutions but also to be part of a team dedicated to solving complex challenges in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Team Lead, Platform Engineering
✨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 Stealth AI Startup 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 Stealth AI Startup.
✨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 Stealth AI Startup.
✨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 Stealth AI Startup 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 Team Lead, Platform Engineering
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 Stealth AI Startup.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Stealth AI Startup 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 Stealth AI Startup
✨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 Stealth AI Startup 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.
