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.
What You'll Do
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
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
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
Skills Required
- Experience building backend systems using Java or similar languages
- Exposure to Scala, Python, or data/ML workflows
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m 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.
