Whitespace

Full-stack Engineer

• 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 DevOps 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.

Software Engineer

AI Engineer

• Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications.
• Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses.
• Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions.
• Mentor and guide engineering teams on best practices in developing agent-based AI solutions.
• Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem.
• Drive technical excellence and promote engineering best practices within the AI team.