Principal Engineer - AI Data and Infrastructure, Remote

10+ years of production-level experience as an engineer building highly scalable and reliable infrastructure

Strong background in architecting or implementing AI-driven features - with the ability to translate AI capabilities into scalable and performant products

Proven track record in end-to-end architecture and delivery - guiding large teams (50+ engineers) across multiple product areas from initial conception through maturity.

Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams

Demonstrated success evaluating and adopting emerging technologies to drive company-wide technical strategies

Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis

Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), data processing (Databricks and Kafka), and large-scale database systems

Familiarity with database replication, sharding and other techniques for scalability and high availability of databases

Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data

Experience building observability platforms, performance monitoring, and optimization frameworks for large-scale systems and infrastructure.

Expertise in containerization/orchestration technologies (Docker, Kubernetes) and modern CI/CD pipelines

Experience with health-tech systems (like Electronic Health Records, Clinical data, etc.) is desired