Software Engineer - Data Platform

📋 Description

• Design and operate distributed data infrastructure powering real-time ML pipelines and analytics.
• Develop high-throughput, low-latency data ingestion and transport systems.
• Scale multi-tenant Kafka infrastructure for real-time workloads.
• Extend and tune Spark, Flink, and Trino for production pipelines.
• Build interfaces and pipelines to query, process, and move petabyte-scale data.
• Collaborate with ML, product, and infrastructure teams to unblock critical data workflows.

🎯 Requirements

• Distributed systems, stream processing, or large-scale data platform experience.
• Proficiency in Rust, Go, Scala or similar systems languages.
• Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.
• Strong debugging, profiling, and performance optimization skills.
• Track record of shipping and maintaining critical infrastructure.
• Comfortable working in fast-moving, high-stakes environments with minimal guardrails.

🎁 Benefits

• Equity as part of total rewards package.
• Comprehensive medical, vision, and dental coverage.
• 401(k) retirement plan access.
• Short and long-term disability and life insurance.
• Miscellaneous discounts and perks.