Backend Engineer, Spotify
Music
$132.9-189.9k
+ Equity
Commercial music streaming service
Be an early applicant
Commercial music streaming service
1001+ employees
Be an early applicant
$132.9-189.9k
+ Equity
1001+ employees
Company mission
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
Role
Who you are
- You have experience building backend systems using Java or similar languages
- You are comfortable working across systems and are interested in learning beyond pure backend (e.g., data or ML systems)
- You are driven to leverage AI to improve our systems, and eager to find practical ways to apply it
- You have experience working with or exposure to Scala, Python, or data/ML workflows
- You are excited to grow into a T-shaped engineer with breadth across backend, data, and ML-adjacent domains
- You care about ownership and are motivated to take responsibility for evolving critical systems
- You collaborate effectively with cross-functional teams, including personalization and data partners
What the job involves
- In the Music Mission, we build the tools and services that enable creators to express themselves, promote their work, and connect with fans
- Discovery Mode is a key promotional tool that helps artists, labels, and licensors grow their audience while maintaining a high-quality listener experience
- We are looking for a Backend focused engineer to join the OASIS team
- OASIS builds and operates the systems that power promotion delivery and optimization within Discovery Mode
- Our work ensures that promotional content isn’t just "surfaced", but is intelligently allocated by balancing complex, competing objectives across our entire ecosystem
- The team is distributed and highly collaborative, working closely with Personalization (PZN) to serve high-quality promotion signals
- You’ll be part of a small, impactful group of engineers across data and machine learning, owning a core piece of infrastructure that enables promotion delivery at scale
- Own and evolve backend systems that deliver promotion scores to personalization systems (PZN)
- Build and maintain services that support promotion allocation and delivery at scale
- Collaborate closely with machine learning engineers and data engineers to improve signal quality and system performance
- Contribute to system design decisions that impact a critical part of Spotify’s discovery ecosystem
- Improve reliability, scalability, and observability of existing infrastructure
- Partner with cross-functional teams to ensure seamless integration with personalization workflows
- Gradually expand your scope into adjacent areas such as data pipelines or ML-adjacent systems
Our take
Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.
With features that include a highly accessible interface and a vast catalogue of artists, Spotify's strong brand has been able to maintain growth in spite of fierce competition from deep-pocketed rivals like Amazon and Apple. The company has achieved this by making smart acquisitions to move into other verticals to strengthen its offerings, especially podcasting, by acquiring Gimlet Media, Anchor and Parcast.
Spotify's future plans include rapid growth with a goal to become a one-stop destination for all digital sound, as well as AI and NFT integrations. However, high costs incurred from the acquisition of exclusive podcasts, increasing competitor strength, and weak bottom-line growth mean that the company must find a balance to maintain its position in the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
23% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2016
$1bn
CONVERTIBLE
Jun 2015
$526m
SERIES G
Total funding: $2.1bn
Company benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse
- Flexible share incentives letting you choose how you share in our success
- Global parental leave, six months off - fully paid - for all new parents
- All The Feels, our employee assistance program and self-care hub
- Flexible public holidays, swap days off according to your values and beliefs
Company HQ
Norrmalm, Stockholm, Stockholms län
Leadership
Daniel Ek
(CEO & Chairman)Founded Spotify in 2006. Previously worked as an executive at Tradera, an auction company that was sold to eBay and was briefly the CEO of uTorrent.
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