Principal Engineer, Platform

• Shape platform architecture and technical investment priorities with engineering teams, product leaders and the Chief Architect.
• Lead cross-team platform initiatives through architecture, design and implementation.
• Define safeguards for AI agents interacting with platform capabilities, data and internal systems.
• Help teams combine large-scale datasets into a unified data foundation.
• Evolve database architecture, including sharding, replication and scaling strategies.
• Contribute to design reviews, prototypes and incident analysis; address reliability, observability and performance bottlenecks.
• Mentor engineers, share technical knowledge and participate in recruitment.

• 3+ years at Staff, Principal, Lead Engineer or equivalent level, driving technical strategy across teams.
• Experience leading multi-quarter initiatives spanning 3+ engineering teams, with measurable technical or operational improvements.
• 5+ years operating production systems where relational database architecture, scalability, reliability and performance were critical.
• Distributed systems expertise covering consistency, availability, partition tolerance, replication and sharding.
• Experience with analytical databases, including ClickHouse, BigQuery and Snowflake.
• Ability to influence technical direction without managerial authority and communicate complex topics to varied stakeholders.
• High standards for code, testing and user experience, with openness to ideas from others.

Nice to have

• Infrastructure and cloud platform knowledge would be an advantage.
• Experience designing systems that expose capabilities, data and workflows to AI agents is a plus.
• Experience leading reliability, observability or performance engineering initiatives is welcome.