Provide geospatial-centric solutions and implementation for Defense and Intel customers using ArcGIS.
Compensation
The pay range for this position is $84000.00 - $142000.00/yr.
Responsibilities
Work closely with customers and partners to identify, design, and certify key GIS workflows for the ArcGIS platform
Provide platform configuration guidance and best practices to customers regarding innovative solutions using technology and content
Identify the value of location within customer workflows and drive substantial return on their investment in enterprise platform and services
Recommend relevant strategies, architectures, and solutions and work with customers to prepare implementation and migration strategies
Present complex GIS technical demonstrations to various levels of staff in a diverse range of customer organizations
Requirements
Bachelor's degree in geography, computer science, mathematics, Geographic Information Systems (GIS), or STEM related field
Nice to have: Master's degree in geography, computer science, mathematics, Geographic Information Systems (GIS), or STEM related field
Nice to have: CompTIA Security + certification
Nice to have: Experience with current technology implementation patterns, including service-oriented and cloud computing architecture
Nice to have: Understanding of IT integration concepts such as databases, web services, webhooks, mobile devices configurations, web browsers, IT system architecture concepts
Design and implement agent-assisted pipelines to parse, audit, and analyze massive-scale system logs.
Define, instrument, and track system-level key performance indicators (KPIs), backend performance metrics, and product health indicators.
Develop custom scripts, prompts, or agentic wrappers (e.g., in Python or R) to parse complex, messy infrastructure logs and transform them into digestible, statistically validated behavioral patterns.
Partner deeply with Infrastructure Engineers, Applied Data Scientists, and Machine Learning researchers to ensure backend pipelines are correctly instrumented for downstream agentic analysis.
Translate abstract system performance data (e.g., latency, GPU/TPU utilization, noise, storage toil) into quantifiable measures of user friction, efficiency losses, and "cognitive load".
Requirements
Bachelor’s degree or equivalent practical experience
Nice to have: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field
Nice to have: UX research on products
Nice to have: experience working with executive leadership
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