Principal Engineer - AI Data and Infrastructure, Remote

Architect complex systems and make critical technical decisions.

Solve challenging technical problems with innovative solutions.

Mentor engineers and promote engineering excellence across teams.

Align technical strategies with business goals through cross-functional collaboration.

Contribute to technical roadmaps and strategic planning.

Evaluate new technologies and lead innovation initiatives.

BS/BTech (or higher) in Computer Science, Engineering or a related field required

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

4+ years of experience working with SQL or other database querying languages on large multi-table data sets

Experience architecting, developing, and deploying large-scale distributed systems at scale

Experience with cloud technologies, e.g., AWS, Azure, GCP

Experience building continuous integration and continuous development (CI/CD) pipelines

Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)

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