Find Spotify Senior Software Engineer software engineering jobs

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

Join Spotify's Safe-and-Sound team as a Machine Learning Engineer focused on Personalization. You'll be part of a crucial initiative making Spotify safe and enjoyable for every listener, working on beloved features from podcast recommendations to AI Playlists. The role involves building Responsible AI solutions through deep understanding of music, podcasts, and user behavior.

You'll work in a dynamic environment, collaborating with cross-functional teams including user research, design, data science, product management, and engineering. Your mission will be to create and implement personalized machine learning solutions that connect artists and fans in meaningful ways. The position offers the opportunity to impact hundreds of millions of active users through large-scale ML systems.

The role combines technical expertise in machine learning, particularly in recommender systems, with practical implementation skills using languages like Java, Scala, or Python. You'll be part of an active community of ML practitioners, contributing to Spotify's culture of innovation while ensuring responsible AI development.

Working at Spotify means joining a distributed workforce with flexible location options within the Americas region. The company offers comprehensive benefits including health insurance, parental leave, retirement plans, and generous time off. You'll be part of a team that values both technical excellence and user experience, working in the Eastern Standard time zone for collaboration.

This is an opportunity to shape the future of music and podcast discovery while ensuring safe and personalized experiences for millions of users. Your work will directly impact how people discover and enjoy content on one of the world's leading streaming platforms.

Senior Machine Learning Engineer position at Spotify focusing on personalization and responsible AI development for music and podcast recommendations.

Machine Learning Engineer, Personalization

Join Spotify's Safe-and-Sound team, where you'll work on making the platform safe and enjoyable for millions of listeners worldwide. As a Senior Machine Learning Engineer focusing on Personalization, you'll be at the forefront of developing Responsible AI solutions that power some of Spotify's most popular features, from podcast recommendations to AI Playlists.

You'll be working in a dynamic environment where you'll collaborate with cross-functional teams to design and implement ML solutions that ensure safe and personalized experiences for hundreds of millions of active users. The role combines technical expertise in machine learning, natural language processing, and generative AI with practical application at scale.

The position offers the flexibility of remote work within the Americas region, operating in the Eastern Standard time zone. You'll be part of an active community of ML practitioners, contributing to both technical innovation and best practices across the organization. The compensation package is competitive, including a base salary range of $171,903 - $245,575, plus equity and comprehensive benefits.

This is an excellent opportunity for experienced ML practitioners who want to make a real impact on how millions of people experience music and podcasts. You'll be working with cutting-edge technology while ensuring that Spotify's personalization features remain safe and effective for every user. The role combines technical challenges with the satisfaction of improving the listening experience for a global audience.

Senior Machine Learning Engineer position at Spotify, focusing on developing safe and personalized AI solutions for music and podcast recommendations.

Senior Machine Learning Engineer, Personalization

A leading technology company that created Backstage, an open source platform for building developer portals.

Spotify is seeking a Senior Developer Advocate for Backstage, their innovative open-source platform for building developer portals. Originally created at Spotify and now adopted by thousands of companies including Fortune 100 organizations, Backstage helps restore order to microservices and infrastructure while enabling rapid, high-quality code deployment.

The role combines technical expertise with advocacy, requiring someone who can bridge the gap between product development and community engagement. You'll be part of the Backstage Product Area, working to fulfill their mission of unleashing developer creativity and innovation while creating delightful experiences.

As a Senior Developer Advocate, you'll create technical content, build relationships with the community, support sales efforts, and represent Backstage at various events. You'll work directly with customers and partners, gathering feedback and supporting their Backstage journey. This position offers the opportunity to influence the future of developer experience platforms while working with cutting-edge technology.

The ideal candidate brings a strong technical background in software engineering or DevOps, with expertise in modern web development technologies and cloud platforms. You'll need excellent communication skills and the ability to engage with diverse audiences, from developers to executive stakeholders. This role offers the chance to work at the intersection of technology, community building, and product development in a fast-paced, innovative environment.

Working from either London or Stockholm, you'll be part of a distributed team that's reshaping how organizations manage their developer experience. This is an excellent opportunity for someone passionate about developer tools and platforms who wants to make a significant impact in the developer experience space.

Senior Developer Advocate position at Spotify, focusing on Backstage platform advocacy, technical content creation, and community engagement.

Senior Developer Advocate - Backstage

Spotify is a music and podcast streaming platform connecting artists and fans through personalized experiences.

The Personalization team at Spotify is seeking a Senior Machine Learning Engineer to join their innovative group. This role is crucial in enhancing the user experience by developing and implementing ML models for music recommendations on Spotify's Home surface.

Key Responsibilities:
- Build ML models for generating music recommendation candidates for Spotify's Home surface
- Develop ML models to order music content on carousel shelves
- Collaborate with a cross-functional team to create new user experiences
- Prototype and scale solutions for hundreds of millions of active users
- Conduct A/B testing to improve recommendation experiences
- Participate in an active community of machine learning practitioners
- Occasional on-call monitoring and troubleshooting of production ML systems

Ideal Candidate:
- Strong background in machine learning, especially in personalized algorithms and recommender systems
- Hands-on experience with production ML systems at scale (Java, Scala, Python; TensorFlow a plus)
- Familiarity with data pipeline tools (Apache Beam, Scio) and cloud platforms (GCP, AWS)
- Passion for agile processes, data-driven development, and disciplined experimentation
- Customer-centric approach to development

Work Environment:
- Distributed workforce with flexibility in work location within the Americas
- Option to work from home or office
- Eastern Standard time zone for collaboration
- Competitive base salary range of $171,903 - $245,575 plus equity
- Comprehensive benefits including health insurance, parental leave, 401(k), and more

Join Spotify's Personalization team to shape the future of music recommendations and keep millions of users engaged through personalized experiences.

Senior Machine Learning Engineer role at Spotify, focusing on personalization and music recommendations for the Home surface.

Senior Machine Learning Engineer, Personalization- Home Music

Spotify is a leading music streaming platform that emphasizes rapid development and experimentation to improve its products for hundreds of millions of users.

Spotify is seeking a Fullstack/Backend Engineer for their Experimentation Platform team. The role is part of the "Think it, build it, ship it, tweak it" development approach, focusing on providing teams with the platform and best practices for rapid and safe iteration of ideas.

You'll be joining a multidisciplinary team passionate about creating the world's best experimentation platform. This role offers the opportunity to develop a wide range of engineering skills, from core backend systems to sophisticated frontends.

Key responsibilities include:
- Developing new high-scale services within the experimentation domain
- Working across the full stack with an emphasis on backend
- Contributing to an autonomous, multi-functional team
- Collaborating with specialists, product owners, and designers
- Participating in on-call rotations

The ideal candidate has:
- Several years of experience building scalable systems
- Proficiency in Java and TypeScript/JavaScript
- Strong backend foundation with comfort across the entire tech stack
- Experience with technologies like experimentation, UX/frontend, API design, and cloud stacks (e.g., GCP)
- A product-focused mindset and willingness to take initiative
- Deep knowledge of writing robust, maintainable applications
- Understanding of distributed high-volume applications

Spotify offers an environment that supports individual growth through challenging work, hack days, thematic guilds, and various internal training courses. This role is based in London, UK, with a hybrid work arrangement.

Join Spotify's Experimentation Platform team and be part of transforming how products are developed and improved for millions of users worldwide.

Join Spotify as a Fullstack/Backend Engineer to build and improve their Experimentation Platform, enabling rapid product iteration and informed decision-making.

Fullstack/Backend Engineer - Experimentation Platform

Spotify is a leading music streaming platform that has developed Backstage, an open-source platform for building developer portals.

Originally conceived in Spotify, Backstage is now a leading SaaS and open source platform for building developer portals. Adopted by thousands of companies, Backstage helps customers to restore order to their microservices and infrastructure and enables product teams to ship high-quality code quickly — without compromising autonomy.

As a Senior Sales Engineer for Backstage at Spotify, you'll be part of a nimble, startup-like team driving an entirely new technology-focused business line. Your role will involve a unique balance of technical knowledge, business acumen, and interpersonal skills to help customers understand and implement Backstage to improve developer productivity.

Key responsibilities include:
- Understanding and explaining Backstage's technical aspects, including architecture, APIs, plugins, and integrations
- Assisting clients with Backstage integration and customization
- Providing technical guidance and troubleshooting support
- Engaging in product demonstrations and proof-of-concept developments
- Collaborating with product management and engineering teams
- Acting as the technical point of contact for clients

The ideal candidate will have:
- Strong background in software engineering or DevOps
- Proficiency in web development (React, TypeScript, Node)
- Experience with cloud platforms and enterprise-level integrations
- Problem-solving abilities with a focus on customer satisfaction
- Prior experience as a Sales Engineer or Solutions Architect
- Hands-on experience with Backstage or similar developer portals

This role offers the opportunity to shape the future of developer productivity tools while working in a dynamic, innovative environment at Spotify.

Senior Sales Engineer role at Spotify for Backstage, an open-source developer portal platform, based in London.

Senior Sales Engineer - Backstage

Spotify is a leading music and podcast streaming platform that focuses on personalized recommendations to keep millions of users listening worldwide.

The Personalization team at Spotify is seeking a Data Engineer with backend experience to join their team. This role is at the forefront of developing Spotify's recommendation systems, powering personalized content across music, podcasts, and audiobooks. The position offers a unique opportunity to shape how Spotify recommendations work, allowing you to grow your skills in engineering at scale, drive significant business impact, and join a high-energy, positive team environment.

Key responsibilities include:
- Building large-scale data pipelines using frameworks like Scio, BigQuery, Google Cloud Platform, and Apache Beam
- Developing, deploying, and operating Java services that impact millions of users
- Working on machine learning projects to power personalized user experiences
- Collaborating with engineers, product managers, and stakeholders
- Delivering scalable, testable, maintainable, and high-quality code
- Sharing knowledge and promoting standard methodologies

The ideal candidate should have:
- Strong knowledge of Scala and interest in sharing this knowledge
- Experience with JVM-based data processing frameworks (e.g., Beam, Dataflow, Spark)
- Experience deploying and operating Kubernetes-based Java applications
- Knowledge of DevOps best practices and familiarity with Docker
- Understanding of machine learning principles
- Commitment to high-quality code and agile software processes
- Value for collaboration and partnership within teams

This role offers the opportunity to keep millions of users engaged with great recommendations every day, making a significant impact on the Spotify user experience.

Join Spotify as a Data Engineer in Personalization, building large-scale data pipelines and recommendation systems for millions of users.

Data Engineer, Personalization

Spotify is a leading music and podcast streaming platform innovating in audio technology.

Spotify is seeking a Senior Data Engineer to join their Speak team, which is the in-house text-to-speech (TTS) team supporting products like DJ, AI Voice Translation, and exciting new unreleased products. The role focuses on building world-class speech technologies that can power the next generation of personalized generative voice products at scale.

As a Senior Data Engineer, you'll be responsible for building large-scale speech and audio data pipelines using frameworks like Google Cloud Platform and Apache Beam. You'll work on machine learning projects powering new generative AI experiences and help build state-of-the-art text-to-speech models. The role involves learning and contributing to the team's understanding of best practices and techniques for building data pipelines for large-scale generative models, including cleaning, filtering, classifying, and labelling.

You'll collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities. The ideal candidate has strong Data Engineering experience, particularly with high-volume, heterogeneous data and distributed systems. Proficiency in Python and experience with data processing frameworks like Beam, Dataflow, or Spark is essential. 

This position offers the opportunity to work on cutting-edge speech technology projects in a dynamic, collaborative environment. You'll be part of a team that values quality, agile processes, and responsible experimentation. If you're passionate about data engineering, machine learning, and building innovative voice products, this role at Spotify could be an excellent fit for your career growth.

Senior Data Engineer role at Spotify, building large-scale speech and audio data pipelines for innovative text-to-speech products.

Spotify Senior Software Engineer Software Engineering Jobs

Find Spotify Senior Software Engineer software engineering jobs