Senior Platform Engineer

Lyst; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Lyst is a global fashion platform founded in London. We are seeking a Senior Platform Engineer to join our Platform squad within Data & Infrastructure.

You will help build, maintain and scale infrastructure handling tens of millions of requests daily, ensuring security, reliability and a top-class developer experience for internal teams. You will work on deployment automation, scale optimization across Cloudflare, AWS, and Kubernetes, and drive observability with ELK, Grafana and New Relic.

Qualifications

• Experience with AWS and platform resources (EKS, EC2, ECS, RDS, ElastiCache).
• Familiarity with Terraform, Docker and Kubernetes.
• Strong focus on scale, reliability and observability.

Responsibilities

• Deployment: orchestrating Terraform, Docker and GitHub to enable deploying code for 200+ apps/services/APIs.
• Automation: building tooling to manage infrastructure, metrics and code declaratively.
• Scale: enabling Lyst to handle a billion requests per month with AWS, Cloudflare and Kubernetes.
• Monitoring and alerting: using ELK, Grafana and New Relic to provide insights and alerts.
• Ownership: building tooling and documentation to give teams visibility into infra and costs.
• Security: enforcing access controls and audit readiness across platforms.

Skills

Terraform

Docker

Kubernetes

AWS

GitHub

Monitoring

Tools

EKS

EC2

ECS

RDS

ElastiCache

PostgreSQL

Elasticsearch

Redis

DynamoDB

Job description

Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium and luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search and discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and we use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The Role

We are looking for a Senior Platform Engineer to join our Platform squad within the Data & Infrastructure tribe at Lyst. We're responsible for building, maintaining and scaling the system infrastructure that handles tens of millions of requests a day, ensuring its security and reliability, and delivering a first-class developer experience to the internal teams that interact with the platform daily. You'll work as part of a close-knit, collaborative team to help our platform continuously evolve to stay at the forefront of Platform Engineering best practices, responding to and embracing the risks and opportunities presented by AI-assisted and fully-agentic engineering advancements, adapting to ever-changing security landscapes, and helping our business to move faster, safely. For our engineers, we aim to provide the best deployment experience, the greatest visibility into application and service performance, and the best ways of managing and maintaining the services for which they are responsible. Our platform team members engage directly with engineers across the business as customers to understand what's slowing them down, what tooling they need, and how we can best help them to focus on delivering the product at Lyst. For our external customers, we aim to provide a fast, reliable experience, serving millions of images and terabytes of data every day across multiple continents. Our platform engineers have a meticulous attention to detail, working hard to understand all our key metrics and networking intricacies, spotting issues that may be causing a bad experience for our customers, and proactively driving forward solutions and optimisations.

What will you be working on?

• Deployment: orchestrating Terraform, Docker and GitHub to enable our engineers to deploy the code for our 200+ applications, services and APIs
• Automation: managing systems programmatically and building tooling to enable engineers to manage their infrastructure, metrics and code declaratively; providing a simple, consistent experience that lets them focus on product value
• Scale: Bringing Lyst to a billion requests per month, using Cloudflare, AWS and Kubernetes to run Lyst at a huge, distributed scale efficiently
• Monitoring and alerting : measuring application performance and delivering insights, metrics and relevant alerts to the engineering teams with ELK, Grafana and New Relic
• Ownership: driving engineering teams to own their infrastructure and costs by building great tooling, visibility and documentation
• Security: Setting the standards for fine-grained access to systems and applications to allow automated access control and support auditing requirements

How will you achieve this?

• Autonomy: you'll have the ability to determine what software, tooling and services we should use and why - the Lyst values encourage trust and a focus on impact
• Mentoring: you'll work with other operations-minded engineers within the team and around the wider engineering organisation to encourage feedback and ideas, as well as advocating for and encouraging adoption of platform capabilities
• Process: you'll provide input on the best way to organise the team and drive documentation of our processes and responsibilities, engage with the strategic direction of the tribe and help drive roadmaps that achieve this progress

Key attributes and requirements

These are some of the key attributes relevant to this role, but this is by no means exhaustive, and we do not expect any single candidate to necessarily possess all of the experience below. Familiarity with AWS and experience creating/administering resources on the platform (we currently make heavy use of EKS, EC2, ECS, RDS and ElastiCache) Good knowledge of data stores, their management and optimisation, (we've got PostgreSQL, Elasticsearch, Redis and DynamoDB behind o