Lead Staff Software Engineer - SCORE
Thetradedesk · London · 2026-07-21
About this role
The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
What we do
Our Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering data-focused products for our stakeholders.
At The Trade Desk we believe that each opportunity to engage with all internal and external stakeholders, is unique. This means you will have the opportunity, based on your interests and background, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, and interactive user interfaces – to name a few.
Our system performs all day, every day serving global traffic. It’s important we focus on quality at scale in an agile environment that is based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long term roadmaps while enhancing existing features or tools and continuously gaining efficiency.
Skills asked for
- machine learning
- agile
- c#
- .net
- graphql
- rest
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