Backend Engineer
1 day ago
About the Team
The ML Ranking Platform team builds and runs the services that coordinate contextualized and personalized rankings. We build ML infrastructure, including a scatter-gather ranking coordination service and feature indexes. We work closely with a team of MLEs to develop and productionize new models and with a team of ML backend engineers that build inference and training services and feature stores
Key Responsibilities
System design. This requires a good understanding of how the systems work, with particular focus on latency and scalability.
Development. RP works mainly with Go and some Python. Skills in testing, SOLID and design patterns are a must.
Systems architecture. RP makes extensive use of Kubernetes, Kafka, Redis and Postgres, and many internal and third party APIs, with focus on resilience, monitoring and alerting, and automation.
Qualifications for this role:
Proficiency in Python and Go, object oriented programming, design patterns.
Proficiency in testing.
Ability to naturally write clear, unconvoluted, testable code.
Experience with Kubernetes, Kafka, Redis (user level).
Experience with AWS and/or Google Cloud (user level).
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