Requirements:

You have experience building backend distributed systems and full-stack systems using object-oriented programming (preferably Java, Scala) and web API frameworks (preferably Spring Boot).
You have experience working with the public cloud, like AWS, Azure, or GCP.
You have the ability to learn and use in-house software framework/components/services to build solutions effectively.
You have experience maintaining and improving legacy systems and can evaluate and discuss tradeoffs regarding refactoring, rebuilding, and buying.
You proactively communicate with cross-functional teams to drive projects and promote best practices in observability and logging.
You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
You have experience working with teams distributed across multiple time zones.

Nice to Haves:

You have knowledge of ML model lifecycle management to build end-to-end visualizations spanning development, deployment, and monitoring of ML models.

Observability dashboard and corresponding backend system to integrate with various MLP products to enable ML practitioners to explore and discover ML entities (models, features, embeddings, pipelines, etc.) and monitor and operate them effectively.
Collaborate with cross-functional teams to implement anomaly and drift detection visualization on models, features, embeddings, etc.
Cost monitoring and chargeback dashboards to provide visibility into resource utilization and identify opportunities for efficiency improvements.
Enhance our user interfaces to provide intuitive and seamless experiences for ML practitioners, incorporating feedback and best practices to improve usability and adoption.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.