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helm python kubernetes elasticsearch fastapi📋 Description
- Implement performance monitoring and optimization for Compass search services and North integration
- Develop benchmarking frameworks to evaluate search model performance and infrastructure efficiency
- Collaborate with modeling teams to optimize search models for faster responses and lower resource use
- Scale search services while maintaining high availability and low latency
- Partner with product teams to translate performance requirements into implementations
- Develop and optimize new tool surfaces for agentic search experiences
🎯 Requirements
- You have proficiency in Python and backend search technologies (OpenSearch, ElasticSearch, Weaviate, FastAPI)
- You possess experience with data or evaluation pipelines and performance benchmarking
- You have experience profiling applications hosted on a mix of CPU, GPU, and autoscaled compute nodes
- You can communicate technical performance metrics effectively to cross-functional teams
- You have 4+ years of experience contributing to production environments
🎁 Benefits
- An open and inclusive culture and work environment
- Work with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, mental health budget
- 100% Parental Leave top-up for up to 6 months
- Remote-friendly with offices in Toronto, NYC, SF, London and Paris, plus a co-working stipend
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