Senior Platform Engineer - F1 Motorsport

Data Science Talent

Northampton

Hybrid

GBP 70,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Pension 5%
Lunch allowance
Life insurance (4x salary)
Private healthcare
Onsite gym
EV charging

Job summary

Data Science Talent is seeking a Platform Engineer for a fast-moving Formula 1 team. You will build and manage platforms enabling data scientists and software developers, spanning on-prem and cloud environments with Kubernetes, Docker and CI/CD pipelines.

You’ll drive standardisation and evolution of platforms, shaping the technology landscape while enabling high-performance, reliable deployments and scalable development environments across the team.

Qualifications

  • Academic background in Mechanical/Engineering, Aerospace, Physics or equivalent, or related motorsport/engineering sector.
  • Proven Kubernetes experience in a professional environment.
  • Strong understanding of microservices and container orchestration, plus CI/CD/DevOps tooling.
  • Excellent communication skills for cross-functional collaboration.

Responsibilities

  • Develop, implement and maintain DevOps and MLOps platforms for software developers and data scientists.
  • Manage deployment environments across Linux, Windows, Docker and Kubernetes, ensuring reliable deployments.
  • Support on-premise and cloud infrastructure, evolving CI/CD pipelines for automation.
  • Create scalable development environments supporting internal apps and third-party tech; improve platform security and performance.

Skills

Kubernetes
Docker
CI/CD
DevOps
MLOps
Microservices
Communication

Education

Engineering or Physics degree

Tools

Linux
Windows

Job description

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 DevOps 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 DevOps, MLOps, and continuous integration/continuous deployment (CI/CD) tools.
  • Excellent communication skills for effective interaction with diverse technical and non-technical groups.

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