AI Infra Validation Engineer - Scale Enterprise GPU Clusters in London

AI Infra Validation Engineer - Scale Enterprise GPU Clusters in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build automated validation suites for cutting-edge AI infrastructure.
  • Company: Era4, a leader in AI technology with a focus on innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for skill development.
  • Other info: Collaborative environment with potential for rapid career advancement.
  • Why this job: Join a dynamic team and ensure the reliability of groundbreaking AI platforms.
  • Qualifications: Experience with Python, Kubernetes, and a passion for tech validation.

The predicted salary is between 60000 - 80000 £ per year.

Era4 is hiring an AI Infrastructure Validation Engineer to design, build, and orchestrate automated preflight validation suites for bare‑metal APIs, Kubernetes environments, and multi‑node GPU clusters. You will ensure every platform release and hardware deployment is tested and production‑ready while collaborating across Product, Engineering, and Operations. You will implement zero‑dependency Python tools, IaC for complex environments, and intelligent test orchestration to autonomously detect.

AI Infra Validation Engineer - Scale Enterprise GPU Clusters in London employer: Era4

Join a dynamic start-up that is at the forefront of building critical national infrastructure, where your role as a Service Desk Analyst will be pivotal in ensuring operational excellence. With a strong focus on employee growth and autonomy, you'll have the opportunity to work closely with leadership and influence the company's operations while enjoying a supportive and collaborative work culture. Located in a vibrant area, this position offers the chance to be part of a mission-driven team dedicated to making a meaningful impact.

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Contact Details:

Era4 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Infra Validation Engineer - Scale Enterprise GPU Clusters in London

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 Era4 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 Era4.

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 Era4.

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 Era4 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 Infra Validation Engineer - Scale Enterprise GPU Clusters in London

Automated Testing
Python
Infrastructure as Code (IaC)
Kubernetes
GPU Clusters
Collaboration Skills
Test Orchestration

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 Era4.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Era4 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 Era4

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 Era4 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.