At a Glance
- Tasks: Develop and manage tools for enhancing deployment processes in Machine Learning.
- Company: Join Graphcore, a leading tech company based in Bristol.
- Benefits: Enjoy competitive salary, flexible working, private medical insurance, and generous leave.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Make an impact in the exciting field of Machine Learning with cutting-edge technologies.
- Qualifications: Experience in Python/Go/C++, cloud service deployment, and Linux knowledge required.
The predicted salary is between 50000 - 65000 € per year.
Graphcore in Bristol is seeking a Software Infrastructure Engineer. In this role, you will develop and manage essential tools and services for our software team, enhancing the deployment processes of Machine Learning Software components.
The ideal candidate will have experience in Python/Go/C++, service deployment in the cloud, and a strong understanding of Linux.
We offer competitive salary, flexible working, and a range of benefits including private medical insurance and a generous leave policy.
Platform & Release Engineer: Kubernetes, Terraform & Cloud in Bristol employer: graphcore
Graphcore is an exceptional employer located in the vibrant city of Bristol, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, we provide ample opportunities for professional development alongside competitive salaries, flexible working arrangements, and comprehensive benefits such as private medical insurance and a generous leave policy. Join us to be part of a forward-thinking team dedicated to advancing machine learning technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Platform & Release Engineer: Kubernetes, Terraform & Cloud in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes, Terraform, or cloud services. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding deployment processes. Practice common interview questions related to Python, Go, C++, and Linux to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Platform & Release Engineer: Kubernetes, Terraform & Cloud in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes, Terraform, and cloud services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background in Python/Go/C++ makes you a great fit for our team. Keep it engaging and personal!
Show Off Your Problem-Solving Skills:In your application, share examples of how you've tackled challenges in service deployment or software infrastructure. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at graphcore
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Kubernetes, Terraform, and cloud services. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since the role involves programming in Python, Go, or C++, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand Deployment Processes
Familiarise yourself with deployment processes for Machine Learning software components. Be ready to explain how you would enhance these processes and what tools you would use to streamline them.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team and the projects you'll be working on. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
