GeoPlatform Cloud Engineer

SAIC

15h

About The Position

We are seeking a talented and motivated GeoPlatform Cloud Engineer to join our team. The successful candidate will support the design, deployment, modernization, and maintenance of cloud-based solutions for the National Geospatial Platform (GeoPlatform) and related geospatial initiatives. The ideal candidate will bring expertise in cloud-native architectures, geospatial services, big data processing, and automation, while providing scalable, secure, and innovative solutions for geospatial data management, analysis, and visualization. As a critical member of the team, the GeoPlatform Cloud Engineer will focus on delivering robust cloud functions and workflows, ensuring the availability, reliability, and security of the platform while enabling cutting-edge geospatial capabilities.

Requirements

5+ years of experience in cloud engineering, system design, and geospatial technologies.
Expertise with geospatial tools (e.g., ArcGIS Suite, GeoJSON, GDAL, OGC-compliant services).
Proven experience managing cloud resources in AWS, Azure, or Google Cloud frameworks.
Proficiency in Python, Java, or similar programming languages for cloud automation and data processing.

Nice To Haves

AWS Certified Solutions Architect or AWS Certified DevOps Engineer.
Microsoft Azure Solutions Architect Expert.
Esri certifications for geospatial data management.

Responsibilities

Design, build, and implement infrastructure and services within cloud platforms (e.g., AWS, Azure, Google Cloud Platform) to enhance GeoPlatform capabilities.
Evaluate and integrate cloud-native geospatial tools and services to support mission requirements, including GIS systems, data pipelines, APIs, and big data processing.
Develop and document scalable and resilient geospatial cloud solutions aligned with best practices for process automation, containerization, and resource optimization.
Collaborate with architects, DevOps engineers, and developers to define system requirements and design technical solutions that align with both operational and customer needs.
Develop Infrastructure as Code (IaC) templates (e.g., Terraform, CloudFormation, ARM templates) for efficient cloud resource automation.
Implement CI/CD pipelines to streamline software development lifecycles and automate deployment and monitoring processes.
Support geospatial data workflows including data ingestion, storage, processing, and visualization using platforms such as ArcGIS, GeoServer, OpenLayers, or PostgreSQL/PostGIS.
Optimize performance and scalability for geospatial workloads, including vector tiles, raster imagery, and 3D datasets.
Ensure adherence to cloud governance and security practices, supporting compliance frameworks (e.g., FedRAMP, NIST, FISMA).
Monitor system performance, incident management, and disaster recovery to guarantee system uptime and security.