Backend Engineer - Platform, Financial Engineering

London

Spotify

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Spotify is looking for a Backend Engineer to join Impala - our GenAI team in Financial Engineering. We are focused on building the AI platform for Finance. Using genAI and machine learning, we aim to automate and enhance stakeholders' working methods. Impala is a highly collaborative team of engineers and data scientists from multiple disciplines who are passionate about new challenges, product innovation, and building sustainable solutions. Our expertise ranges from Backend to traditional Machine Learning to LLMs. If you want to be a BE leader on a team driving pioneering uses of AI in Finance, apply today!
We are part of the Financial Engineering team. Our mission is to accelerate Spotify’s growth and performance with a trusted financial platform that provides valuable data and insights for our partners. We’re a team of engineers, data scientists, and product managers in New York, Stockholm, and London. 

What You'll Do

  • Work with Machine Learning experts to design, build, valuate, ship, and refine Finance’s genAI platform by hands-on backend development
  • Collaborate with key internal stakeholders to determine how to design backend systems and APIs to meet their needs
  • Author and collaborate on technical RFCs to document approaches
  • Collaborate with a cross-functional agile team spanning design, data science, product management, engineering, and finance to build new technologies and features
  • Take operational responsibility for the services that are owned by your team, including joining an on-call rotation

Who You Are

  • 5+ years of experience working directly with stakeholders to understand, document, and develop APIs and systems to meet their requirements, driving increased adoption and reducing reliance on custom one-off implementations
  • 3+ years of experience in building and operating backend services with Python and/or Java
  • Experience working with cloud-based environments (GCP, AWS, or Azure)
  • Ability to solve problems methodically and can investigate issues in complex systems with a positive and proactive attitude
  • Good understanding of system design, data structures, and algorithms
  • Experience building solutions for Finance teams
  • Quality focused, and you know what it means to ship high-quality code

Where You'll Be

  • This role is based in London or Stockholm
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile APIs AWS Azure Engineering Finance GCP Generative AI Java LLMs Machine Learning Python

Perks/benefits: Career development

Region: Europe
Country: United Kingdom

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