Backend Engineer - Ads Measurement

Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We're seeking a talented Backend Engineer to join our Ads Measurement team at Spotify. You’ll collaborate closely with internal stakeholders, external partners (such as advertisers, agencies, and third-party measurement providers), and other ad platform teams to design scalable backend services, data pipelines, and APIs that power precise and trustworthy ad measurement. You’ll contribute to high-impact projects like building real-time attribution systems, enabling cross-device and cross-platform measurement, supporting incrementality testing, and integrating with industry standards.

Design, build, and maintain scalable backend services and APIs that power Spotify's advertising systems

Collaborate with cross-functional teams (frontend, product, data, and other backend teams) to deliver end-to-end features

Own and improve performance, reliability, and observability of backend systems

Contribute to system architecture, technical strategy, and design reviews

Write clean, maintainable, and well-tested code in a modern backend stack

Participate in on-call rotation and ensure smooth operation of production systems

Drive technical discussions, mentor peers, and support a culture of continuous improvement

You are a highly motivated and communicative engineer who is passionate about collaborating on difficult engineering problems.

You have 4+ years of experience as a backend engineer, with strong proficiency in Java and a demonstrated comfort working within backend service architectures.

You are a strong advocate for code quality, testing, and automation

You have experience with distributed systems, high-volume services, production deployment, big data processing technologies, and system design

You are familiar with APIs, stakeholders, and agile methodologies

Knowledge of algorithms, data structures, and software engineering principles

Understanding of end-user experience, quality, and modern engineering practices

Collaborative attitude with a strong desire to work with others and make a difference

Believes data is a powerful tool for informed decision-making

You have experience with data pipelines or Scala (a plus, not required)

We offer you the flexibility to work where you work best! For this role, you can be on the West Coast of the North American region as long as we have a work location.

Working hours? The team operates in EST time zones for collaboration.