Senior Backend Data Engineer

Teknik, data och digitalt · Data, AI och analys · Data engineering · Backend · Mjukvaruutveckling

I korthet

Spotify seeks a Senior Backend Data Engineer to design, build, and scale systems for content intelligence. This role involves end-to-end ownership of engineering projects, working with distributed data systems, ML infrastructure, and applied AI. The ideal candidate has 5+ years of experience and strong programming skills in Java, Scala, or Python.

Ansvarsområden

Design, build, and evolve scalable backend and data systems for content intelligence capabilities.
Take end-to-end ownership of engineering projects, from design to operation.
Build reliable infrastructure for large-scale content processing (audio, video, text, images).
Create RFCs and contribute to architectural decisions.
Develop reliable and cost-efficient systems for high-throughput data processing.
Work with distributed data systems and large-scale content-management infrastructure.
Partner with other Engineers to deliver technical solutions.
Contribute to AI and LLM-enabled workflows and infrastructure.
Evaluate and integrate AI capabilities into production systems.
Build understanding of adjacent systems and contribute to a shared on-call rotation.
Contribute to technical quality and engineering best practices.

Krav

5+ years of relevant engineering experience, with strong experience in backend and/or data engineering.
Deep expertise in either backend or data engineering, comfortable working across both disciplines.
Experience building and scaling large-scale distributed systems.
Strong programming experience in Java, Scala, and/or Python.
Understanding of designing systems for scalability, reliability, performance, and cost.
Comfortable taking end-to-end ownership of complex engineering problems.
Ability to translate technical problems into designs, RFCs, and executable engineering plans.
Effective communication and collaboration skills with engineering, product, and technical stakeholders.
Comfortable operating in an environment where backend, data, ML infrastructure, and AI overlap.
Ability to participate in a shared on-call rotation.

Önskade kvalifikationer

Experience with ML infrastructure, AI/LLM systems, agents, model evaluation, or integrating model APIs at scale is a plus.
Exposure to large-scale multimedia processing, audio processing, search, or recommendation systems is a plus.

Förmåner

Extensive learning opportunities through the GreenHouse team.
Flexible share incentives.
Global parental leave (six months for all new parents).
All The Feels employee assistance program and self-care hub.
Flexible public holidays, allowing swaps according to values and beliefs.

Färdigheter

JavaScalaPython

#engineering#backend#data engineering#distributed systems#ml infrastructure#applied ai#content intelligence#audio#video#text#images

Om Spotify

Our mission is to unlock the potential of human creativity—by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 70m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience. Today, Spotify is the most popular global audio streaming service with 365m users, including 165m subscribers…

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