Principal Engineer (AI Data and Infrastructure)

Join our team as a Principal Engineer (AI Data and Infrastructure) and play a key role in shaping the future of our AI-powered data ecosystem. You will architect high-performance foundations for next-generation data platforms, scale our infrastructure for millions of users, and tackle complex problems in data orchestration and processing. This role offers a remote-first working environment, flexible schedules, and a range of benefits including generous PTO, paid parental leave, and company stock options.

• Architecting the high-performance foundations of next-generation agentic data platforms and scaling infrastructure for millions of users worldwide.
• Setting the direction for a unified data platform designed for an AI-first future, guiding engineering teams to bridge the gap between raw data and actionable AI.
• Mentoring engineers and promoting engineering excellence across teams, aligning technical strategies with business goals through cross-functional collaboration.
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
• 10+ years of production-level experience as an engineer building highly scalable systems
• 6+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• BS/BTech (or higher) in Computer Science, Engineering or a related field required
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
• Experience architecting, developing, and deploying large-scale distributed systems at scale
• Experience building continuous integration and continuous development (CI/CD) pipelines
• Experience with cloud technologies, e.g., AWS, Azure, GCP
• 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
• Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams
• Proven track record in end-to-end architecture and delivery - guiding large teams (50+ engineers) across multiple product areas from initial conception through maturity
• 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
• Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data
• Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
• 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
• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required