Engineering Manager, Geospatial Data Infrastructure

JobsinAustria; Graz; Vor Ort; EUR 68.000 - 83.000; Vollzeit

Benefits dieser Stelle

Remote-friendly environment

Learning opportunities

Healthcare

Zusammenfassung

JobsinAustria is seeking a Lead Engineer to head a domain-focused team delivering terabyte-scale distributed data processing for satellite imagery. You will own the roadmap, drive ingestion and processing improvements, and ensure high availability and performance in a remote-friendly, international environment.

The role requires hands-on leadership of engineers, a strong geospatial background, and expertise in Python and distributed systems.

Qualifikationen

• Has managed software engineers directly, supervising at least three people for a minimum of two years.
• Experience leading data-intensive systems: pipelines, distributed processing or large-scale storage.
• Geospatial domain knowledge including CRS, raster/vector data, GeoTIFF, and PostGIS.
• Strong Python and distributed systems background; ability to review pipeline designs and assess scaling.

Aufgaben

• Lead and grow a domain-related team building distributed data processing at terabyte scale, conducting 1:1s, performance reviews, and development plans.
• Own the end-to-end roadmap; teams manage services, SLAs, cost, on-call duties, and customer impact; engineers own problems, not tickets.
• Improve ingestion reliability, processing latency, and storage efficiency with instrumented metrics and fixed cadences.
• Extend ingestion to include ArcGIS, STAC APIs, WMS/WMTS, and cloud object storage; represent team in architecture reviews.
• Maintain operational bar with availability, request success, and incident quality governance.

Kenntnisse

Team leadership

Geospatial background

Python

Distributed systems

Tools

PostGIS

Redis

Docker

Kubernetes

PostgreSQL

Jobbeschreibung

JobsinAustria is seeking a Lead Engineer to head a domain-focused team delivering terabyte-scale distributed data processing for satellite imagery. You will own the roadmap, drive ingestion and processing improvements, and ensure high availability and performance in a remote-friendly, international environment.

The role requires hands-on leadership of engineers, a strong geospatial background, and expertise in Python and distributed systems.