Data Infrastructure Engineer

1 week ago


Mountain View, California, United States Contextual AI Full time
Job Overview

The Data Infrastructure team at Contextual AI powers product development, applied research, and customers' data-intensive workloads. We design, build, and operate foundational data services that shape the technical direction of our data engineering team.

Key Responsibilities
  • Design and implement scalable services, APIs, and databases to support petabytes of information daily.
  • Architect and build streaming infrastructure, data orchestration systems, vector databases, and Elasticsearch indices.
  • Collaborate with ML researchers to understand state-of-the-art requirements for RAG systems.
  • Work directly with product managers and application engineers to understand customer requirements for end-to-end RAG systems.
  • Ensure seamless integration with machine learning models and pipelines.
  • Mentor and guide junior team members.
Requirements
  • Master's or PhD degree in Computer Science, Software Engineering, or a related field.
  • 5+ years in scaling Kubernetes services, distributed queuing systems, and streaming infrastructure.
  • Proven ability to diagnose distributed vector databases and Elasticsearch failures.
  • 5+ years of experience with infrastructure tooling such as Terraform, Kubernetes, Python, Go, or Java.
  • Familiarity with machine learning concepts and frameworks.
  • Strong problem-solving skills and excellent communication and interpersonal skills.
What We Offer

Competitive salary range: $140,000 - $300,000 + equity + benefits. Contextual AI is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.



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