Senior Engineering Manager - Data Platform
Checkout.com · London
About this role
Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech - and we’re just getting started. Checkout.com http://Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team’s mission is to ultimately provide all the tools and platforms which will ensure data and AI can be easily leveraged to the benefit of our products, merchants, and internal collaborators and teams. Our focus should be on maximising the amount of time other teams spend on solving business problems and innovating their products, and minimising the time spent on technical details around implementation, deployment and monitoring of their data and AI solutions. We're building for scale. As such, much of what we design and implement today will be the technology and infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities - Lead the team in establishing and validating their understanding of technical architecture and design end-user centric systems and tools. - Lead technical delivery and operational reliability by automating pr
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