Senior Software Engineer (Data Platform, Spark & Trino)

Role Overview

Senior Software Engineer for the Data Platform working on distributed query engines, specializing in Spark and Trino.

Responsibilities

• Design fault-tolerant architectures for distributed query engines
• Build self-healing mechanisms and graceful degradation strategies for Spark/Trino clusters
• Implement comprehensive telemetry/observability for distributed workloads
• Develop data processing algorithms and techniques for large datasets to support interactive querying
• Design high availability strategies, fault isolation, and scalable resource allocation for massive horizontal scale

Requirements

• Experience leading or mentoring engineers
• Proven ability to architect and tune distributed systems for high availability, fault tolerance, and large-scale operation
• Hands-on experience with Trino (PrestoSQL) or Presto for distributed SQL across heterogeneous sources
• Experience operating large-scale distributed systems in public clouds (AWS or GCP)
• 8+ years software development experience in Java and/or Scala on Linux/Unix
• Experience implementing observability/telemetry, including tools such as:
  • Prometheus, Grafana, OpenTelemetry, JMX metrics
• Strong understanding of SQL and distributed data processing engines (e.g., Apache Spark)
• 3+ years in database internals, query processing, or distributed systems

Education / Experience (as stated)

• BS in Computer Science or related field with 5 years experience, or MS/PhD with 3 years experience

Nice-to-haves

• Familiarity with AI coding tools (e.g., Cursor)
• Industry experience building and delivering high-performance data processing engines