Senior/Staff Software Engineer, Data Platform

Build and own scalable streaming, storage, and distributed data-platform systems powering a unified telematics API. The role requires strong Java or JVM-language experience, production platform ownership, and expertise in distributed systems and large-scale batch or streaming data.

About the job

Responsibilities

Design and build streaming and batch pipelines for replication, analytics, and enrichment.
Build storage systems that scale to petabytes of time-series data while remaining fast under load.
Improve platform primitives including data quality, lineage, stream and batch processing, and high-availability infrastructure.
Develop AI-powered tooling that helps the platform improve itself.
Contribute to open-source technologies when appropriate.
Make architectural decisions that keep the platform ahead of its scale.
Work primarily in Java and Python.
Partner with engineering teams and customers to build reusable abstractions and components.

Requirements

Experience building and owning production platforms or distributed systems at scale.
Strong software engineering fundamentals and a computer science foundation.
Hands-on experience with big-data frameworks and streaming or batch systems operating at TB-to-PB scale.
Deep understanding of distributed systems and failure-mode design.
Experience building durable platform systems used by other teams.
Strong judgment in ambiguous environments and the ability to balance thorough design with rapid experimentation.
Strong Java or another JVM language such as Scala or Kotlin, or the ability to learn it quickly.

Nice-to-haves

Experience with data streaming and processing, including Kafka, Flink, Spark, warehouses, or lakehouses.
Open-source contributions, particularly in data processing or storage.
Lakehouse storage technologies such as Iceberg, Delta, Paimon, or Doris.
Orchestration and workflow engines such as Temporal or Step Functions.
Time-series and spatial or spatio-temporal data experience.