Member of Technical Staff (Software Engineer, Data Platform)

Highlights

• Own the end-to-end data lifecycle powering product features and AI workloads.
• Build self-serve platforms letting teams discover data and ship pipelines easily.
• Set long-term architecture and standards for the company-wide data ecosystem.

What they offer

• equity

Ideal candidate

Senior data infrastructure builder who loves treating platforms as products and raising the bar through mentorship and clear standards. Excited by reliable, scalable systems that power AI and product experiences.

Requirements

• 5+ years (Senior) or 8+ years (Staff) of software engineering experience
• Strong experience building production data infrastructure systems
• Hands-on experience with batch and/or streaming data processing at scale
• Deep familiarity with data orchestration systems (Airflow, Dagster, or similar)
• Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.)
• Strong systems thinking around reliability, latency, cost, and complexity tradeoffs
• Experience supporting ML/AI workflows, training pipelines, or evaluation systems
• Familiarity with data quality, lineage, observability, and governance tooling
• Prior ownership of internal platforms used by many teams