Infrastructure Software Engineer, Data Platform

Dropbox is seeking an Infrastructure Software Engineer to join their Data Platform team, which focuses on building and evolving the core infrastructure for customer analytics and data-driven product decisions. The role involves hands-on ownership of critical platform components and contributing to a major platform modernization effort, including enabling AI/ML use cases on the data lake.

Responsibilities:

• Build and maintain platform capabilities that enable reliable ingestion, storage, and processing of customer and product data at scale
• Contribute to petabyte-scale data lake modernization, including migration to new underlying storage/table formats
• Develop platform features to support AI/ML workflows and enable leveraging AI on top of the data lake
• Partner with engineering teams across Dropbox to integrate with the customer data platform and improve usability and adoption
• Participate in an on-call rotation and help define operational standards for platform services

Requirements:

• 3+ years of software engineering experience building production systems
• Proficiency in at least one general-purpose programming language (e.g., Python, Go, Java or C#)
• Familiarity with batch and/or streaming data systems concepts (e.g., scheduling, backfills, schema evolution, late data, idempotency)
• Experience debugging and operating production services using logs/metrics and incident response practices
• Experience with big data tooling such as Spark/SparkSQL, Kafka, Hive, Airflow, or Superset
• Experience with Databricks or other big data platforms (e.g., Snowflake, Redshift, BigQuery)
• Experience with large-scale data lake storage systems and/or table formats (e.g., lakehouse patterns, schema evolution, partitioning)