At a Glance
- Tasks: Build and manage platforms for a fast-paced F1 team, ensuring reliability and efficiency.
- Company: Join a leading F1 team with a focus on innovation and performance.
- Benefits: Enjoy competitive salary, bonuses, flexible hours, private healthcare, and onsite gym.
- Other info: Dynamic role with opportunities for growth and influence in cutting-edge tech.
- Why this job: Make a real impact in the thrilling world of Formula 1 technology.
- Qualifications: Experience with Kubernetes and a background in engineering or motorsport.
The predicted salary is between 63000 - 77000 £ per year.
4 days onsite + 1 day remote (commutable from Northamptonshire / Buckinghamshire / Oxfordshire / Bedfordshire)
Permanent - basic salary DOE, championship & race weekend bonuses, flexible onsite hours (10am - 3pm), pension (5%), daily lunch allowance, life insurance (4x salary), private healthcare, onsite gym & EV charging.
The FIA limits every F1 team to 40 wind tunnel runs and 250 CFD tests a week. No exceptions, no extra runs.
That means every tool, pipeline, and platform your team relies on has to work first time, every time, because there's no room to waste a test slot on a system that lets you down.
As a Platform Engineer within this fast-moving Formula 1 team, you'll build and manage the platforms that make that possible.
Your work underpins almost every engineering application in the department, so when you ship something better, the whole team feels it within days, not months.
You'll work across Kubernetes, Docker, and CI/CD pipelines spanning both on-premise and cloud environments, giving software developers and data scientists the infrastructure they need to push performance further.
With direct influence over how the team standardises and evolves its platforms, you'll shape the technology landscape rather than just maintain it.
What you’ll do
Develop, implement and maintain the Dev Ops and MLOps platforms that support software developers and data scientists across the Technology department.
Manage deployment environments spanning Linux, Windows, Docker and Kubernetes, ensuring applications and microservices are deployed efficiently, securely and reliably.
Support both on-premise and cloud-based infrastructure as the team's technology platforms continue to evolve.
Contribute to the design, implementation and continuous improvement of CI/CD pipelines to enhance automation and software deployment.
Help create consistent and scalable development environments that support both internally developed applications and specialised third-party technologies.
Drive improvements that enhance platform scalability, security, reliability and operational performance.
- What you’ll need
- An academic background in a relevant field (e. g.
Mechanical Engineering, Aerospace Engineering, Physics) or experience working in the F1/Motorsport industry or an engineering-intensive sector such as Aerospace, Automotive, Aviation, or Defense.
- Proven experience with Kubernetes in a professional environment.
- Strong understanding of microservices architecture and container orchestration, along with experience with Dev Ops, MLOps, and continuous integration/continuous deployment (CI/CD) tools.
- Excellent communication skills for effective interaction with diverse technical and non-technical groups.
Fancy shaping the platforms that power an F1 team? Click Apply - don't worry if your CV isn't up to date, just send what you've got.
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Senior Platform Engineer - F1 Motorsport in Northampton employer: Data Science Talent
Join a dynamic and innovative Formula 1 team as a Senior Platform Engineer, where your contributions directly impact the performance of cutting-edge engineering applications. With a flexible work culture that includes 4 days onsite and 1 day remote, alongside competitive benefits such as a daily lunch allowance, private healthcare, and an onsite gym, you'll thrive in an environment that prioritises both professional growth and employee well-being. This role offers unique opportunities to shape technology platforms in a fast-paced industry, ensuring that every tool you develop enhances the team's success on the track.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Platform Engineer - F1 Motorsport in Northampton
✨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 Data Science Talent 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 Data Science Talent.
✨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 Data Science Talent.
✨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 Data Science Talent 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 Senior Platform Engineer - F1 Motorsport in Northampton
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 Data Science Talent.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Science Talent 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 Data Science Talent
✨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 Data Science Talent 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.
