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Company: SAIC
Location: REMOTE WORK, DC
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

Description

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.

Duties:

  • 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.

Qualifications

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

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.


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