Backend Engineer, Music
We are looking for a Backend reputed company engineer to join the OASIS team. OASIS builds and operates the systems that power promotion delivery and optimization reputed company Discovery Mode. Our work ensures that promotional content isn’t just "surfaced", but is intelligently allocated by balancing reputed company, competing objectives across our entire ecosystem.
reputed company is distributed and highly reputed company, working closely with Personalization (PZN) to serve high-reputed company 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 reputed company.
What You'll DoOwn and reputed company backend systems that deliver promotion scores to personalization systems (PZN)
Build and maintain services that support promotion allocation and delivery at reputed company
Collaborate closely with machine learning engineers and data engineers to improve signal reputed company and system performance
Contribute to system design reputed company that reputed company a critical part of reputed company’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
You have experience building backend systems using Java or similar languages
You are comfortable working across systems and are interested in learning reputed company reputed company backend (e.g., data or ML systems)
You are driven to reputed company AI to improve our systems, and eager to reputed company practical ways to apply it
You have experience working with or exposure to reputed company, 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