Platform Engineer – Platform Service hybrid

Overview

We are looking for a skilled Platform Engineer to join our Platform As A Service team 🚀

You will be part of a team of experienced engineers building and operating the foundations that enable our product teams to move fast and safely in production, using modern infrastructure tooling, strong engineering practices and a clear focus on developer experience.

Join the world’s leading travel subscription platform.

Millions of customers every year across 44 markets – 5 brands – over 7.7 million Prime members since launching in 2017.

More than 100 million searches per day on our websites – more than 6 billion AI daily predictions

Over 1,700 employees – More than 60 different nationalities from all continents – 99% permanent contracts

We’re the world’s leading travel subscription platform. We pioneered Prime, the first and largest travel subscription programme, which has topped over 7.7 million members since launching in 2017. Prime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.

This entire Primeexperience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.

The Role’s Key Responsibilities and Tasks

• Build, maintain and operate platform components used by multiple teams
• Contribute to improving developer experience by providing reliable self service workflows and clear abstractions
• Work with Infrastructure as Code and Git Ops workflows across the full lifecycle: design, implementation, testing and operation
• Participate in the evolution of our Kubernetes based platforms, including multi cluster and multi region setups
• Build and operate the service mesh layer, based on Istio, including multi cluster service mesh capabilities
• Work on edge related capabilities as part of the platform, contributing to how requests are handled and secured at scale
• Collaborate with senior engineers to design and implement solutions, learning how to make systems more scalable, reliable and maintainable
• Help reduce cognitive load for our stakeholders by automating common tasks and standardising patterns
• Take ownership of well scoped problems and follow them through to production

You will work on meaningful and real problems, with guidance and support, while progressively increasing your technical scope and autonomy.

• Mindset: we work following Git Ops principles, automate as much as possible and focus on iterative delivery and continuous improvement
• Technology: modern cloud native stack with Kubernetes at the core, running on GCP, including service mesh and edge integrations
• Technical challenge: a global platform used across many countries and teams, where reliability, clarity and good engineering decisions really matter
• Impact: your work directly improves how engineers build, deploy and operate their services

GCP, Kubernetes, Istio, Crossplane, ArgoCD, FluxCD, Terraform, Kyverno, Git, Docker, Helm, Cloudflare and much more

(experience with all of them is not required; we value strong fundamentals and willingness to learn)

What you need to succeed: Good to have

Bring your unique perspective, speak up, and offer disruptive solutions. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed:

• Experience working with cloud infrastructure and containerised environments
• Good understanding of Linux, networking and distributed systems basics
• Familiarity with Infrastructure as Code and Git based workflows
• Ability to debug issues methodically and reason about production systems
• A proactive and collaborative mindset, comfortable asking questions and learning from others
• Ownership attitude: you care about the quality and reliability of what you ship

• Experience with Applied AI Tools: Demonstrated comfort using practical AI…