Position: GIS Cloud Engineer (B2B / Freelancer Contract)

Location: Remote open to candidates based in the European Union

Role Overview

We are looking for an experienced GIS Cloud Engineer to join our team of innovators driving high-performance, scalable, and secure geospatial solutions in the cloud. The role involves modernizing GIS infrastructures, automating cloud workflows, and integrating geospatial data with advanced technologies. You will collaborate with cross-functional teams to ensure system reliability, cost efficiency, and security across a cloud-native GIS ecosystem.

Key Responsibilities

• Migrate and automate the PSGEO solution, supporting Level 3 (L3) operations and integrating geospatial data layers.

• Configure secure access to GIS subscriptions through Azure Functions and app services.

• Migrate legacy Python scripts to Golang and streamline cloud pipelines for performance and efficiency.

• Implement real-time and batch processing of GEO APIs using Kafka and REST.

• Execute vendor-driven changes, performance tuning, and vector processing optimizations.

• Build custom monitoring solutions using Dynatrace and ensure proactive system health management.

• Collaborate on proof-of-concept initiatives to develop and test innovative GIS cloud solutions.

• Contribute to continuous improvement and automation initiatives across cloud and geospatial workflows.

Required Skills & Experience

• Bachelors degree in Informatics, Computer Science, or a related field.

• Minimum 10 years of professional experience in a similar engineering role.

• Proven experience with Microsoft Azure, including resource management, microservices, and cost optimization.

• Hands-on expertise in cloud automation and operational workflow development.

• Strong understanding of Identity and Access Management (IAM), including secure access via app services and service principals.

• Experience in developing and integrating APIs for geospatial platforms such as HERE and Esri.

• Proficiency in implementing Kafka for real-time and batch data streaming.

• Solid understanding of GIS principles, spatial analysis, and geospatial data models.

• Practical experience with geocoding, geoenrichment, and executing spatial queries at scale.

• Advanced proficiency in Golang for cloud-native development.

• Working knowledge of Python for migration and legacy support tasks.

• Familiarity with observability tools such as Dynatrace for monitoring and performance optimization.

• Proven ability to manage incidents and provide effective Level 3 (L3) technical support.

• Understanding of secure, scalable cloud architecture design and data security compliance.

• Experience with Oracle Cloud Infrastructure (OCI) and PostgreSQL is considered a plus.

• Excellent command of English, both written and spoken.

Preferred Qualifications

• Experience with large-scale GIS deployments or enterprise cloud migrations.

• Strong problem-solving abilities and hands-on debugging skills.

• Ability to drive automation and efficiency improvements across geospatial systems.

Contract Type

• Engagement Model: B2B / Freelancer

• Location: Fully Remote (EU-based profiles only)