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Platform Engineer Trainline Platform & Infrastructure –12d ago

Job in London, Greater London, W1B, England, UK
Listing for: Devopsroles
Full Time position
Listed on 2026-10-21
Job specializations:
  • Software Development
    DevOps
Salary/Wage Range or Industry Benchmark: 60000 GBP Yearly GBP 60000.00 YEAR
Job Description & How to Apply Below
Position: Platform Engineer Trainline Platform & Infrastructure £60,000–£70,000 12d ago
About us

At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

Great journeys start with Trainline

We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.

Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.

We’re a team of more than 1,000 Train liners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.

Introducing the Trainline Infrastructure Engineering and Tooling Team

The Infrastructure Engineering and Tooling team, also known as Atlas, owns the ecosystem we use to deploy, run and manage services across the Trainline platform. Our work helps engineering teams across the business ship changes safely and confidently, so millions of travellers can rely on Trainline every day.

You'll join a collaborative team of software and platform engineers at all levels of experience. We work across Terraform, AWS, Node.js, C# and Python, and we don't expect you to know it all from day one. You'll work closely with engineers, Tech Leads and Engineering Managers, with support from a Senior Principal Engineer and the Head of Engineering, to improve our platform and deliver meaningful infrastructure change.

In

this role as the Platform Engineer, you will...
  • Contribute to improvements across Trainline's engineering platforms, building scalable, reliable and secure infrastructure that supports teams across the business.

  • Implement infrastructure changes with Terraform, following existing module patterns and suggesting ideas to improve quality, maintainability and automation.

  • Apply least-privilege and secure-by-default principles across our AWS accounts, helping our infrastructure meet Trainline's standards for security and operational excellence.

  • Build and improve automation, services and tooling in Node.js or Python to make delivery faster, safer and more repeatable.

  • Learn and grow with your colleagues through code reviews, pairing and shared knowledge, giving and receiving constructive feedback along the way.

  • Work with Tech Leads, Delivery Managers and cross-functional colleagues to understand priorities, plan your work and manage dependencies.

  • Raise risks, blockers and questions early, helping the team keep delivery moving at a sustainable pace.

  • Test, validate and deploy infrastructure changes through CI/CD (continuous integration and continuous delivery) pipelines, making sure they are robust, well documented and ready for production.

We'd love to hear from you if you have...
  • Professional experience as a software engineer, writing code in Python, Node.js, C# or a similar programming language.

  • An understanding of software engineering best practice, with a focus on writing clean, maintainable and testable code.

  • Experience with AWS services such as ECS, Lambda, Cloud Front, IAM and S3, following operational and security best practice.

  • Experience delivering infrastructure with Terraform or another infrastructure as code tool.

  • An understanding of Dev Ops practices and CI/CD, for example using Git Hub Actions.

  • Experience using AI tooling in your day-to-day work, for example for coding, code review, research and productivity.

  • A curious mindset and the ability to pick up new technologies quickly and…

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