Software Engineer, Data Engineering, AI Engineer (Applied​/Software)

Location:

Remote / Alexandria, VA
Clearance:
Active TS/SCI or eligibility to be cleared

Geo Delphi, Inc. dba Whitespace is building Iris, a trust-first Agentic AI platform for global leaders. Recognized as one of the most innovative companies in the geospatial industry, Whitespace accelerates speed-to-answer through powerful analytics, high-cadence data feeds, geospatial intelligence, and expert-machine teaming. Our mission is to transform commercial data into actionable intelligence that keeps pace with world events and delivers decision advantage to our customers.

Whitespace is seeking a highly motivated Software Engineer
, with geospatial analysis experience, to join our engineering and analytics team. This role combines software engineering, geospatial data science, and advanced analytics to support mission-critical programs including Tactical Surveillance, Reconnaissance, and Tracking (TacSRT).

The ideal candidate is a full-stack problem solver who can design scalable software systems, build data pipelines, perform geospatial analysis, and develop analytic capabilities that transform large volumes of commercial and geospatial data into actionable intelligence.

You will work closely with software engineers, data scientists, analysts, and customer stakeholders to develop innovative solutions that support national security, operational planning, and strategic decision-making. This position will report to the VP of Engineering.

This position is 100% remote! It also requires 15% travel to the corporate and customer locations. In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of Geo Delphi, Inc. No 3rd party applications.

• Design, develop, test, deploy, and maintain scalable software solutions supporting the Whitespace Answers Platform and Iris AI ecosystem.
• Build backend services, APIs, data pipelines, and analytic applications using modern software engineering practices.
• Write clean, efficient, maintainable, and testable code primarily using Python and Java.
• Collaborate across Agile teams to develop technical solutions for complex geospatial and data-centric challenges.
• Participate in software releases, code reviews, CI/CD pipelines, and Dev Ops processes.
• Improve existing applications through performance optimization, automation, and architecture enhancements.
• Provide technical consultation and troubleshooting support for software and infrastructure issues.

• Collect, integrate, clean, and analyze large-scale geospatial and non-geospatial datasets.
• Develop and implement statistical models, machine learning workflows, and geospatial analytics solutions.
• Design and maintain scalable data processing pipelines for structured and unstructured data.
• Identify trends, anomalies, patterns, and insights within commercial and geospatial datasets.
• Develop interactive visualizations and mission-focused analytic products for customer stakeholders.
• Conduct cloud-based data research and large-scale data processing.
• Collaborate with engineering, R&D, and mission teams to develop new analytic capabilities and data products.
• Support intelligence, targeting, collection management, geospatial analysis, and activity-based intelligence initiatives.

• Must have a minimum of 7 years of experience in a software engineering role.
• Experience in designing, building, scaling, and maintaining production software.
• Strong coding abilities emphasizing quality and testability in your work.
• Utilize programming languages such as Java, Python, and Go.
• Strong understanding of Dev Ops and software/application development processes.
• Demonstrated experience with continuous integration and software CM processes/tools (Git Lab, JIRA, Confluence, Kubernetes, or other Dev Ops/Continuous Integration tools).
• Experience with SQL and No
  
  SQL databases and query optimization.
• Experience acquiring client requirements and resolving workflow problems through automation optimization.

• Experience with AWS, Azure, or Google Cloud.
• Experience…