World's most popular audio streaming subscription service, launched in 2008, focused on unlocking human creativity through music and podcasting.

Spotify, the world's leading audio streaming platform, is seeking a Backend Engineer for their Content Platform team. This role offers an exciting opportunity to work on systems that impact millions of users globally. As part of an autonomous team, you'll be responsible for developing and maintaining distributed backend systems using Java, Python, and Scala, while working in a Google Cloud Platform environment.

The position combines technical expertise with collaborative teamwork, where you'll be designing and implementing highly available, scalable services that power Spotify's content delivery. You'll work alongside product managers, engineers, and business partners in an agile environment that values experimentation and iteration.

The role offers significant growth opportunities through regular hack days, bi-annual hack weeks, and various internal training programs. You'll be part of Spotify's mission to revolutionize audio streaming while working in a culture that embraces diversity and inclusion.

Working in either London or Stockholm, you'll enjoy a flexible hybrid work arrangement that balances remote work with in-person collaboration. This is an excellent opportunity for experienced backend engineers who are passionate about scalable systems, clean code, and making an impact on a global scale.

The ideal candidate will bring strong Java expertise, database knowledge, and experience with modern infrastructure tools. You'll be working on challenges that require both technical depth and breadth, making this role perfect for T-shaped engineers who enjoy seeing their code used by millions of users worldwide.

Senior Backend Engineer position at Spotify's Content Platform team, working on scalable Java services in London or Stockholm with hybrid work arrangement.

Backend Engineer - Content Platform

A global music and audio streaming platform delivering the best Spotify experience to millions of users worldwide.

Spotify's Experience team is seeking a Data Engineer to join their mission of delivering the best Spotify experience to millions of users worldwide. The role involves working with consumer experiences across mobile apps, web, TVs, speakers, cars, wearables, and partner integrations. As a Data Engineer, you'll be building structured, high-quality data solutions processing petabytes of data using GCP suite including BigQuery, Dataflow, and Pub/sub. The team is known for developing open-source software like Scio, a Scala API wrapper for Apache Beam.

The position offers the opportunity to work with cutting-edge technologies and frameworks while collaborating with cross-functional teams. You'll be responsible for building and maintaining large-scale data processing systems, improving data quality, and contributing to data-powered products that enhance user experience. The role requires expertise in languages like Python, Java, Scala, and SQL, combined with strong analytical and problem-solving skills.

Working at Spotify means joining a company that values innovation, responsible experimentation, and engineering best practices. The hybrid work environment offers flexibility while maintaining collaborative team dynamics. Whether based in Stockholm or London, you'll be part of a team that's passionate about using data to evolve products and bring better experiences to Spotify users and the global artist community.

This is an excellent opportunity for a data professional who wants to impact millions of users' daily music and audio experiences while working with some of the most advanced data processing technologies and frameworks in the industry.

Data Engineer position at Spotify building large-scale data processing systems and solutions to enhance user experience across multiple platforms.

Data Engineer

Global music and audio streaming platform revolutionizing how people listen to and discover music.

Spotify is seeking a Backend Engineer to join their Advertising Product & Technology organization, working on core backend and data systems that power their advertising platform. This role offers an exciting opportunity to work with one of the world's leading music streaming platforms, focusing on developing and improving Spotify's ad serving infrastructure.

The position involves building scalable backend services and APIs using Java, while collaborating with Data Scientists and Engineers to create complex data pipelines. You'll work with modern technologies and frameworks including Scio, Storm, Spark, and Google Cloud Platform, ensuring high-quality code through automated testing and continuous integration.

As a Backend Engineer at Spotify, you'll have the chance to impact millions of users worldwide, working on systems that match ads to Spotify users while optimizing both user experience and advertiser outcomes. The role requires a strong foundation in Java development, with opportunities to expand into Scala and other technologies.

The company offers an attractive compensation package, including a competitive salary range of $125,562 - $179,374, plus equity. Benefits include comprehensive health insurance, generous parental leave, retirement plans, and flexible time off. Spotify embraces remote work, allowing you to work from anywhere within the Americas region where they have a work location.

This is an ideal opportunity for engineers who are passionate about solving complex technical challenges, value collaboration, and want to contribute to a platform that shapes how people experience music and audio content worldwide. The role combines technical expertise with business impact, as you'll be directly involved in systems that drive both user engagement and revenue.

Backend Engineer position at Spotify focusing on advertising technology and scalable systems development.

Backend Engineer - Advertising

A global music and podcast streaming platform pioneering personalized content recommendations.

Spotify's Personalization team is seeking a Machine Learning Engineering Manager II to lead their innovative recommendation systems team. This role sits at the intersection of cutting-edge ML technology and consumer product development, focusing on features like Discover Weekly and Blend that impact millions of users globally.

The position offers an opportunity to shape the future of music and podcast discovery at one of the world's leading streaming platforms. As an ML Engineering Manager, you'll lead a team of backend, data, and machine learning engineers while collaborating with research scientists to prototype and productize state-of-the-art machine learning solutions.

The role combines technical leadership with people management, requiring expertise in ML/AI technologies and their practical application in consumer products. You'll be responsible for developing business-aware recommendation systems while managing and mentoring a team of engineers. The position involves working with cross-functional teams and influencing senior leadership, making it ideal for someone who excels at both technical innovation and team leadership.

Working in a hybrid environment from New York, you'll be part of a global team operating in EST time zone. The compensation package is competitive, ranging from $176,000 to $252,000 plus equity, along with comprehensive benefits including health insurance, parental leave, and retirement plans.

This is an excellent opportunity for an experienced ML leader who wants to impact how millions of users discover and enjoy content while building and growing high-performing engineering teams. The role offers the perfect blend of technical challenges, leadership opportunities, and direct impact on user experience at a global scale.

Lead ML engineering team for Spotify's Personalization features, managing recommendation systems and machine learning initiatives.

Machine Learning Engineering Manager II - Personalization

A global music streaming platform that provides ML-powered music recommendations and features

Spotify's Hendrix Serving team is seeking a Backend Engineer to join their mission of building a robust platform for serving machine learning models. This role is central to simplifying the ML model production process and developing infrastructure that powers Spotify's recommendation systems. As part of this team, you'll work on backend services and data pipeline optimization, directly impacting how millions of users experience Spotify through ML-powered features.

The position offers a unique blend of backend engineering and machine learning infrastructure work, where you'll collaborate with ML Engineers, researchers, and product teams to create scalable inference services. You'll be working with cutting-edge technologies and have the opportunity to learn and apply new tools beyond your existing skill set.

The role is based in Toronto with a hybrid work arrangement, offering flexibility while maintaining collaborative opportunities through in-person meetings. You'll be part of Spotify's engineering culture, working on projects that directly impact the company's ML infrastructure and user experience.

This is an excellent opportunity for a backend engineer who wants to work at the intersection of infrastructure and machine learning, helping to scale and improve one of the world's leading music streaming platforms. Your work will be crucial in enabling teams across Spotify to deliver valuable predictions and enhance the user experience through ML-powered features.

Backend Engineer role at Spotify focusing on building and maintaining ML model serving infrastructure and scalable inference services.

Backend Engineer - Platform

A global audio streaming platform providing music, podcasts, and personalized content to hundreds of millions of users worldwide.

Spotify's Personalization Team is at the forefront of understanding the audio world, powering recommendations for hundreds of millions of users globally through products like Discovery Weekly and DJ. As a Backend Engineer on the Search team, you'll be part of a mission-critical initiative to help users efficiently find and discover content. The role combines challenging technical problems with product innovation, working on highly scalable distributed systems that serve hundreds of millions of users.

The position offers the opportunity to work with a highly collaborative team spread across Boston, New York, Stockholm, and London, focusing on building and maintaining robust backend systems and APIs. You'll be working with modern technologies including Java, Python, and Kubernetes, while having the freedom to experiment and iterate quickly.

The role demands a strong technical background in distributed systems and search technologies, combined with the ability to collaborate effectively with cross-functional teams. You'll be contributing to a team that values data-driven decision making and high-quality code delivery, while working on products that directly impact how people discover and enjoy audio content worldwide.

Working at Spotify means joining a company that's shaping the future of audio consumption, with a strong emphasis on personalization and user experience. The flexible work environment allows you to work remotely within the EMEA region, providing an excellent work-life balance while being part of a team that operates in the Central Eastern time zone for collaboration.

Join Spotify as a Backend Engineer working on personalization and search systems, building scalable solutions that help millions discover content they love.

Backend Engineer - Personalization

Global music and audio streaming platform revolutionizing digital content delivery

Spotify is seeking a Data Engineer to join their commerce platform team, specifically focusing on revenue protection and misuse prevention. This role is central to designing and implementing core capabilities that identify and prevent misuse across all plans and services. The position offers a unique opportunity to work with cutting-edge data technologies while maintaining SOX-compliant processes.

The role involves building and maintaining sophisticated data pipelines using DBT and Scio, requiring expertise in SQL, Scala/Python, and Java. You'll be working in a collaborative environment, interfacing with product, engineering, and business teams to develop effective solutions for plan misuse prevention.

Based in London, UK, the position offers a flexible hybrid work arrangement, operating within the Central European and GMT time zones. This setup provides an ideal balance between remote work and necessary in-person collaboration. The role demands strong technical capabilities combined with excellent communication skills, as you'll be working with both technical and non-technical stakeholders.

The ideal candidate will bring experience in data engineering, cloud platforms, and scalable backend systems. Knowledge of A/B testing frameworks and experimentation platforms is valuable. This position offers the opportunity to make a significant impact on Spotify's commerce platform while working with a global team of talented professionals.

Join Spotify to help build and maintain the infrastructure that protects their revenue streams and ensures a fair experience for all users. This role combines technical challenges with business impact, making it an excellent opportunity for a data engineer looking to work on meaningful problems at scale.

Data Engineer position at Spotify focusing on revenue protection and misuse prevention, building data pipelines and working with cross-functional teams.

Data Engineer - Commerce Platform

Global music streaming platform serving 350+ million active users and millions of artists and creators.

Spotify, the leading music streaming platform serving over 350 million active users, is seeking a Full Stack Engineer to join their Authorization team within the Music Tech Platform organization. This role is part of the Music Mission, focusing on building consumer and industry-facing products that enable creators to manage authorization within their teams and organizations.

As a Full Stack Engineer, you'll be at the forefront of tackling complex backend and frontend challenges related to team management and authorization. You'll work on critical tools and services used across all Spotify verticals, including Music, Podcasts, and Audiobooks. Your contributions will directly impact how millions of creators connect with their audiences and how hundreds of millions of users experience Spotify.

The position offers an exciting opportunity to work with modern technologies like Java, React, GraphQL, and TypeScript, while building secure, performant, and reliable solutions. You'll be part of an agile, multi-functional team that values collaboration, continuous experimentation, and iterative development. The role combines technical expertise with business impact, requiring a balance between sophisticated technical solutions and practical product requirements.

Based in NYC with a flexible hybrid work arrangement, this position offers competitive compensation including equity, comprehensive benefits, and a collaborative culture that embraces change and innovation. Join Spotify to help shape the future of digital music and content creation while working on products that serve a global audience.

Full Stack Engineer position at Spotify, building authorization and team management solutions for creators and artists, using Java, React, and TypeScript in a hybrid work environment.

Full Stack Engineer - Music

Global music and audio streaming platform providing customer service solutions for millions of users worldwide.

Spotify is seeking a Backend Engineer to join their Rocksolid squad, which forms the backbone of their Customer Service Platform (CSP). This role offers a unique opportunity to work on systems that directly impact customer support operations at scale. The position involves designing and maintaining backend services critical to the company's customer support ecosystem, covering multiple channels including web, email, compliance logging, account management, and operational automation.

The role requires collaboration with cross-functional teams in an agile environment, working alongside product managers and engineering leaders to drive technical innovation. You'll be responsible for developing scalable, high-performance backend solutions that power customer support experiences for millions of users worldwide. A key part of the role involves working on the Conversation SDK, which powers approximately 65% of customer support interactions.

As a Backend Engineer, you'll be involved in implementing and optimizing APIs, maintaining compliance-critical systems, and working with data pipelines. The position offers the flexibility of hybrid work from the London office, requiring in-person presence three times per week. This is an excellent opportunity for engineers passionate about building robust backend systems and interested in shaping the future of customer service technology at a global scale.

The ideal candidate should have strong experience in backend development, particularly with Java and distributed systems. Knowledge of RESTful and gRPC APIs, database management, and Google Cloud Platform is essential. This role provides an opportunity to make a significant impact on Spotify's customer service infrastructure while working with cutting-edge technologies in a collaborative environment.

Backend Engineer position at Spotify focusing on customer service platform development, requiring Java expertise and API development experience.

Backend Engineer - Customer Service Platform

World's most popular audio streaming subscription service, revolutionizing music listening since 2008.

Spotify, the world's leading audio streaming platform, is seeking a Junior iOS Engineer to join their Partner Growth product area within Platform and Partner Experience R&D Studio. This role focuses on driving sustainable partner growth through integrations with major strategic partners like Google, Samsung, Microsoft, and Meta.

The position offers an exciting opportunity to work on extending Spotify's experience across various platforms and building foundations for AI-powered platform integrations. As a Junior iOS Engineer, you'll be instrumental in developing and maintaining partner SDKs, implementing new features, and ensuring robust integrations that scale effectively.

The role combines technical expertise in iOS development with collaborative teamwork, as you'll work closely with cross-functional teams and partner developers. You'll be using modern iOS technologies like Swift, SwiftUI, and UIKit, while following established coding guidelines and workflows to maintain high-quality standards.

Spotify offers a flexible hybrid work environment in Stockholm, requiring three days of office presence per week. The company strongly values diversity and inclusion, welcoming talent from all backgrounds to contribute to their mission of unlocking human creativity. This is an excellent opportunity for an entry-level iOS developer to join a company that has transformed the music industry and continues to innovate in the audio streaming space.

Working at Spotify means being part of a mission to connect millions of creators with billions of fans worldwide, while helping artists live off their art. The company's culture emphasizes continuous improvement, team success, and making an impact in the global audio streaming industry.

Junior iOS Engineer position at Spotify focusing on partner integrations and SDK development, working with major tech partners to extend Spotify's reach.

Junior iOS Engineer - Partner Integrations

A global music and podcast streaming platform that connects artists and listeners through personalized experiences.

Spotify's Personalization teams are at the forefront of creating beloved features like Daily Mix and Discover Weekly. The Fritz team specifically focuses on next-content recommendation using machine learning models that operate in real-time. As a Machine Learning Engineer II, you'll be part of a team that's migrating training infrastructure to Ray and continuously innovating to increase user engagement.

The role involves working with cutting-edge ML technologies to solve complex personalization challenges for hundreds of millions of active users. You'll be collaborating with cross-functional teams including user research, design, data science, and product management to create features that meaningfully connect artists and fans.

The position offers competitive compensation and comprehensive benefits, including healthcare, parental leave, and retirement plans. You'll work in a flexible environment within the Eastern Standard time zone, with the opportunity to be based anywhere in North America where Spotify has a work location.

This is an excellent opportunity for an experienced ML practitioner who wants to impact how millions of people discover and enjoy music and podcasts. You'll be working with state-of-the-art technologies and frameworks while contributing to a collaborative culture of ML excellence at Spotify.

Mid-level Machine Learning Engineer position at Spotify focusing on personalization and recommendation systems, offering competitive salary and benefits.

Machine Learning Engineer II, Personalization

A global audio streaming platform serving 600+ million Monthly Active Users and 8,000 employees worldwide.

Spotify, the leading global audio streaming platform serving over 600 million Monthly Active Users, is seeking a Senior Fullstack Engineer to join their Data Quality and Observability team. This role is crucial in maintaining the platform that processes more than 2 petabytes of data daily and supports over 8,000 employees worldwide.

The position offers an exciting opportunity to work on innovative tools that ensure data accuracy and reliability across Spotify's extensive ecosystem. As a Senior Fullstack Engineer, you'll be instrumental in building and enhancing observability and quality tooling that empowers developers and data practitioners throughout the company.

The role combines technical excellence with leadership responsibilities, requiring expertise in Java, TypeScript, React, and cloud infrastructure. You'll work in a collaborative environment, leading cross-functional teams and contributing to the strategic vision for data observability. The position offers competitive compensation ($182,962 - $228,702 plus equity) and comprehensive benefits including health insurance, parental leave, and flexible work arrangements.

This is an ideal opportunity for a seasoned engineer who wants to make a significant impact at scale, working on solutions that directly affect millions of users' experience with services like Discover Weekly and AI DJ. The hybrid work environment based in New York offers flexibility while maintaining collaborative opportunities with talented teams.

If you're passionate about data platforms, have a track record of delivering robust technical solutions, and want to shape the future of how Spotify handles data, this role offers the perfect blend of technical challenges, leadership opportunities, and real-world impact.

Senior Fullstack Engineer role at Spotify focusing on data platform development, quality, and observability tools.

Senior Fullstack Engineer – Data Platform

Global music and audio streaming platform offering personalized content delivery

Join Spotify's Now Playing View team as a Senior Machine Learning Engineer to revolutionize user engagement with currently playing content. As a founding ML engineer, you'll be instrumental in developing and deploying models that power personalized recommendations across Music, Podcasts, and Audiobooks. The role offers an exciting opportunity to work with distributed systems and ML at scale, collaborating with talented engineers in a remote-friendly environment.

The position involves architecting end-to-end ML systems, working closely with Backend and Data engineers to meet latency requirements, and shaping the team's ML strategy. You'll be part of an autonomous, cross-functional agile team, coordinating technical projects across Spotify while maintaining high standards for optimization and quality.

We're looking for someone with proven technical leadership experience and deep expertise in machine learning, particularly in recommender systems. Your strong background in feature engineering, scalable data pipelines, and frameworks like TensorFlow will be essential. The role offers competitive compensation, comprehensive benefits, and the flexibility to work remotely within North America.

This is an exceptional opportunity to impact millions of users' experience while working with cutting-edge ML technologies in a collaborative, innovation-driven environment. You'll help shape the future of content discovery and personalization at one of the world's leading streaming platforms.

Senior ML Engineer role at Spotify focusing on personalization and recommendation systems for the Now Playing View team, offering competitive salary and remote work options.

Spotify Engineering Jobs

World's most popular audio streaming subscription service, launched in 2008, focused on unlocking human creativity through music and podcasting.