GeoPlatform Cloud Engineer

SAIC is seeking a talented and motivated GeoPlatform Cloud Engineer to join their team. The successful candidate will support the design, deployment, modernization, and maintenance of cloud-based solutions for the National Geospatial Platform and related geospatial initiatives, focusing on delivering robust cloud functions and workflows while ensuring the platform's availability, reliability, and security.

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

Requirements:

• Bachelor's degree in Computer Science, Information Technology, Geographic Information Systems, or related field (or equivalent experience)
• 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
• AWS Certified Solutions Architect or AWS Certified DevOps Engineer
• Microsoft Azure Solutions Architect Expert
• Esri certifications for geospatial data management