Jobs at CTS Corporation

Develop, maintain, troubleshoot, and improve public-facing GIS applications supporting the USGS National Map. Build JavaScript solutions, automate AWS cloud-based data workflows using Lambda, S3, and EC2, improve scalability and efficiency, and collaborate on testing and problem-solving. The role involves understanding existing code, applying software engineering fundamentals, and developing maintainable applications. Python, modern front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies are preferred.

Provide administration, maintenance, troubleshooting, and security support for Esri GIS applications and Windows 11/Server environments supporting the U.S. Geological Survey. Configure and maintain ArcGIS Enterprise components, resolve system issues, apply security updates, address vulnerabilities, follow configuration management and version control practices, and manage multiple assignments independently in a remote setting. This is a temporary three-month contract.

Enhance, maintain, troubleshoot, and improve existing public-facing geospatial applications for the USGS National Map. Develop with JavaScript, support AWS-based cloud data workflows using services such as Lambda, S3, and EC2, and improve code efficiency, scalability, testing, and maintainability. Collaborate with technical teams to diagnose problems and implement practical solutions. Preferred experience includes Python, modern front-end and Node.js development, REST APIs, additional cloud platforms, and Esri technologies.

Develop, enhance, and maintain public-facing web applications for The National Map. Build responsive, user-focused interfaces, improve geospatial data presentation, support scripted geospatial data processing, and document workflows and technical decisions. The role uses modern web technologies and may involve Python, web mapping tools, cloud infrastructure, and collaboration with a mission-driven team supporting public access to authoritative geospatial information.

Support the National Geospatial-Intelligence Agency by developing Python-based solutions for complex datasets, identifying trends and anomalies, and translating findings into operational visualizations and workflows. The role collaborates with intelligence analysts and technical experts, manages projects from exploratory analysis through deployment, and improves processes supporting real-time mission decision-making.

Evaluate and validate AI-enabled GEOINT capabilities using operational electro-optical imagery datasets. Analyze how collection geometry, sensor limitations, environmental conditions, and image quality affect algorithm performance. Develop analytic methodologies, testing frameworks, validation standards, and performance metrics for NGA AI model accreditation. Exploit imagery to assess object detection outputs and determine whether results are analytically meaningful across real-world collection conditions.

Develop and enhance responsive web applications supporting The National Map and USGS geospatial data. Responsibilities include improving existing codebases, building user-focused interfaces, presenting geospatial information, creating scripted data-processing workflows, and documenting technical decisions. The role collaborates with a team and may use Python, modern JavaScript tools, mapping technologies such as ArcGIS JavaScript API, and AWS.

Develop and refine multi-source GEOINT collection strategies supporting the TCPED lifecycle and complex Intelligence Community missions. Evaluate collection effectiveness, identify capability gaps, support information need development, and apply phenomenology to GEOINT tasking and mission planning. Coordinate with NGA and other Intelligence Community organizations using GIMS. The role may also involve evaluating non-traditional NTM capabilities, creating training materials, and using vector data.

Supports the National Geospatial-Intelligence Agency by managing GEOINT collection and large multi-source mission datasets. Assesses sensor capabilities, develops automated collection strategies, evaluates model-output metrics, synchronizes mission requirements, identifies tasking conflicts, and collaborates with data scientists and intelligence stakeholders. The role also supports collection workflows, training objectives, sensor research, and operational GEOINT analysis.

Lead Systems Engineer to oversee migration to cloud-native environments, manage GEOTAM workflows, maintain/improve systems, provide technical and management leadership, interface with senior stakeholders, and ensure financial/staffing alignment for Census Bureau geography systems.

Support NGA mission operations by applying Python and SQL to analyze GEOINT and multi‑INT data, develop and test analytic methodologies and machine learning approaches, identify patterns across complex datasets, and deliver actionable intelligence to government stakeholders while maintaining accuracy and quality.