MLOps & Infra Engineer | Kubernetes, Terraform, Cloud

MLOps & Infra Engineer | Kubernetes, Terraform, Cloud

Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Build and manage cutting-edge infrastructure for AI research using Kubernetes and Terraform.
  • Company: Join Graphcore, a leader in AI technology with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic team environment with excellent career advancement opportunities.
  • Why this job: Make an impact in the AI field while working with advanced technologies.
  • Qualifications: Experience with cloud services, Kubernetes, and a passion for AI.

The predicted salary is between 63000 - 77000 £ per year.

Graphcore is seeking a Software Infrastructure contributor to scale and manage our infrastructure.

You will build tools and services to support AI research and engineering teams, deploying with Kubernetes, Docker, and Terraform in a distributed HPC environment.

You will work with Python-based tooling, cloud services, and ML orchestration tools, gaining exposure to GPU-accelerated ML stacks and Go/Java/C++ components as needed.

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MLOps & Infra Engineer | Kubernetes, Terraform, Cloud employer: Graphcore Early Careers

At Graphcore, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among our talented team of engineers. Located in the vibrant city of Bristol, we provide flexible working arrangements, generous benefits including private medical insurance and a supportive parental leave policy, and a commitment to employee growth through diverse project opportunities. Join us to make a meaningful impact in the fast-evolving field of AI compute, where your contributions will be valued and recognised.

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Contact Details:

Graphcore Early Careers Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land MLOps & Infra Engineer | Kubernetes, Terraform, Cloud

✨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 Graphcore Early Careers 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 Graphcore Early Careers.

✨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 Graphcore Early Careers.

✨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 Graphcore Early Careers 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 MLOps & Infra Engineer | Kubernetes, Terraform, Cloud

Kubernetes
Terraform
Docker
Python
Cloud Services
ML Orchestration Tools
GPU-Accelerated ML Stacks

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 Graphcore Early Careers.

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

✨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 Graphcore Early Careers 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.