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GeoPlatform Cloud Engineer

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20022, USA
Listing for: SAIC
Full Time, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer, IT Consultant
  • Engineering
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120001 - 160000 USD Yearly USD 120001.00 160000.00 YEAR
Job Description & How to Apply Below

Overview

Job

Location:

REMOTE WORK, DC, US

Date Posted:

Category:
Defense/Intel

Subcategory:
Geospatial Engr

Schedule:

Full-time

Shift: Day Job

Travel:
No

Minimum

Clearance Required:

None

Clearance Level Must Be Able to Obtain:
Public Trust

Potential for Remote Work:
Yes

Description

We are seeking a talented and motivated Geo Platform 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 (Geo Platform) 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 Geo Platform 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 Geo Platform 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, Dev Ops 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, Cloud Formation, ARM templates) for efficient cloud resource automation.
  • Implement CI/CD pipelines to streamline software development life cycles and automate deployment and monitoring processes.
  • Support geospatial data workflows including data ingestion, storage, processing, and visualization using platforms such as ArcGIS, Geo Server, Open Layers, or Postgre

    SQL/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 Dev Ops 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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