Senior Software Engineer — Distributed Compute / Spark Systems

Highlights

• Build core infrastructure behind continuous optimization for lakehouse data.
• Own systems that directly affect customer compute spend and query latency.
• Tackle efficiency and reliability across petabyte- and exabyte-scale workloads.

What they offer

• Meaningful equity and performance bonus for top performers
• 401(k) with company match, comprehensive health coverage, and unlimited PTO
• Daily catered meals in Mountain View office
• Support for research, publication, and conference participation

Ideal candidate

Deep systems builder who loves performance and efficiency at massive scale. Hands-on owner excited to shape core infrastructure with a small, high-caliber team.

Requirements

• Strong depth in distributed systems, data processing, query engines, databases, or cloud infrastructure
• Production experience with systems like Spark, Trino, Presto, Flink, Databricks, EMR, Glue, or Hive
• Hands-on experience improving performance, reliability, or cost efficiency for large-scale workloads
• Understanding of distributed execution, query planning, scheduling, resource management and fault tolerance
• Experience with Catalyst, Adaptive Query Execution, cost-based optimization or vectorized execution
• Experience optimizing joins, shuffles, scans, spills, caching, partitioning and skew handling
• Experience building workload schedulers, execution control planes or multi-engine compute platforms