Staff Software Engineer – Geospatial, AI

Michael Baker International

Staff Software Engineer at DATAMARK Technologies developing cloud-native geospatial applications integrated with AI capabilities. Leading software engineering practices for mission-critical public safety environments.

Posted 5/30/2026full-timeRemote • 🇺🇸 United StatesLead💰 $130,000 - $149,600 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudMicroservicesPostGISPostgresTypeScript

About the role

Key responsibilities & impact

Deliver scalable, AI-native microservices and full-stack geospatial applications that meet performance, reliability, and security standards for mission-critical deployment environments.
Lead the integration of AI and machine learning capabilities into geospatial applications using enterprise AI platforms, ensuring production-grade quality and measurable operational impact.
Develop autonomous AI systems for spatial data quality validation, geospatial analysis, and automated workflows that reduce manual intervention and increase data fidelity.
Drive the AI-assisted developer operations practice forward by owning agent frameworks, intelligent DevOps tooling, and automated code review pipelines that accelerate team velocity.
Architect serverless solutions and RESTful APIs for geospatial data services, ensuring scalability, maintainability, and alignment with modern API design standards.
Implement and optimize CI/CD pipelines using infrastructure-as-code principles, achieving consistent, repeatable, and auditable delivery across environments.
Execute integrations with enterprise GIS platforms and spatial data processing systems, ensuring data flows are accurate, performant, and interoperable across the technology stack.
Strengthen the team's engineering capability through active mentorship, rigorous code reviews, and the establishment of best practices that raise collective technical standards.
Ensure security guardrails, multi-tenant isolation, and compliance controls are embedded into AI-powered features from design through deployment.
Maintain accountability for the overall health, quality, and evolution of geospatial and AI engineering deliverables across the products you own.

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Engineering, or a related field
5+ years of full-stack web application development experience
Proficiency in TypeScript and modern frontend and backend frameworks
Hands-on experience with geospatial technologies, including Esri, MapLibre, Mapbox, or equivalent platforms
Experience with AWS cloud platform and serverless architectures
Solid understanding of microservices architecture and RESTful API design patterns
Experience with relational and spatial databases; PostgreSQL and PostGIS preferred
Proficiency with version control systems and agile development methodologies

Benefits

Comp & perks

Medical, dental, vision insurance
401(k) Retirement Plan
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Life, AD&D, short-term, and long-term disability
Professional and personal development
Generous paid time off
Commuter and wellness benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TypeScriptfull-stack web application developmentgeospatial technologiesAWSserverless architecturesmicroservices architectureRESTful API designPostgreSQLPostGISagile development methodologies

Soft Skills

leadershipmentorshipcode reviewsbest practices establishmentcommunication

Certifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering