Lead Software Engineer - Data Distribution Platforms

Shape the future of data systems as a Lead Software Engineer focusing on distributed architectures using Spark and Trino. Your leadership will be essential in optimizing production-scale platforms.

This role seeks candidates with 8+ years in software development, specializing in Java or Scala and cloud environments like AWS or GCP. You will lead initiatives in creating resilient data processing systems, establishing high-availability infrastructure, and mentoring engineers. Your deep knowledge of database internals and distributed systems will drive innovation and efficiency across platforms.

Key Responsibilities:

• Drive architecture design for high-throughput data engines

• Innovate data processing techniques for extensive datasets

• Build observability frameworks to identify system performance issues

• Create fail-safe systems with fault tolerance and isolation

• Manage resource allocation for highly elastic workloads

Requirements:

• 8+ years of experience in software engineering (Java/Scala)

• Strong background in public cloud deployments (AWS or GCP)

• Profound SQL knowledge and experience with Spark

• Proficient in Trino for executing distributed SQL queries

• Proven ability to mentor engineering teams

Lead the transformation of data platforms using your expertise in distributed systems and query processing.
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