Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility.
You will be one of the founding engineers on the platform — a central repository that collects and standardizes observations from dashcams, satellites, aerial images, and vehicle sensors, then delivers them to downstream teams via well-defined APIs. This is a greenfield direction: you will help define the architecture, set technical standards, and shape how the platform evolves as data volumes and source diversity grow.
This is a project-starter role. We are looking for someone who can design systems from scratch, align stakeholders across teams, and raise the technical bar — not someone who joins and executes tasks.
What you’ll work on:
- Architecture and design of data ingestion pipelines from heterogeneous sources (dashcam, satellite, aerial, vehicle sensors)
- Standardization, validation, and quality gates for incoming map observations at scale
- API design and delivery layer for downstream consumers
- Distributed batch processing of large-scale geo-datasets
- Cross-team technical leadership, architectural decision-making, and mentoring
- Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)
Technologies:
- Scala
- Apache Spark
- Kafka
- Akka
- Apache Airflow
- SQL / PostgreSQL
- AWS (Step Functions, ECS, Lambda, EMR)
- Java
- Python
- CI/CD (GitHub / GitLab)
