Backend engineer - AI & Automation
Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do.
Klarna was born in Stockholm in 2005 and today has 2500 employees working across Europe and the US. We currently serve 60 million consumers, work together with 130,000 merchants and process more than a million payment transactions a day. We're growing at 40% every year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.
The AI & Automation domain at Klarna contributes to the Klarna user experience by automating web workflows and data extraction for online shopping and personal finance. We are directly involved in both method development and building production-grade services for this purpose. Our products use a combination of tool-based, algorithmic and machine learning techniques.
We are looking for versatile Software engineers with proven records of building and maintaining backend services, who can take a leading role in infrastructure projects, and act as an informal software development mentor to their colleagues.
Who you are
You are comfortable writing Python.
You are experienced working with modern infrastructure such as AWS or Google Cloud Platform.
You are familiar with designing and building distributed and scalable systems.
You are experienced with deploying robust microservices.
You know and care about good engineering practices like continuous delivery and automated testing.
You have a good understanding of algorithms and data structures.
What you will do
Design, develop and deploy backend services with a focus on high availability, low latency and scalability.
Build and maintain data pipelines, infrastructure, CI & CD pipelines.
Take ownership for different services, eventually taking part in an on-call rotation.
Act as a mentor to less experienced colleagues.
