The role involves building core infrastructure services and microservices that support machine learning, frontend, and platform teams. Responsibilities include developing systems for distributed configuration management, rate limiting, feature flags, A/B testing, and traffic capture. The position focuses on improving the performance, scalability, and observability of cloud infrastructure.

Candidates must possess at least 8 years of experience and hold a Bachelor of Science degree in computer science or a related field. Required technical proficiencies include familiarity with Python, Golang, Java, or C++, as well as experience with containers, Docker, and cloud infrastructure platforms like AWS, GCP, or Azure. Applicants should have experience operating open-source technologies such as Kafka, Elasticsearch, Opensearch, Istio, or Vector DB at scale. Additionally, the role requires a demonstrated ability to solve for performance, optimization, scalability, latency, and monitoring.