Fullstack Software Engineer

Michael Baker International•Dallas, TX

23h•$130,000 - $149,600•Remote

About The Position

Michael Baker International is seeking a Full Stack Software Engineer to join the DATAMARK Technologies team. This role focuses on shipping features end-to-end across a modern web frontend, serverless backend services, and AI-augmented workflows that transform how public safety and enterprise professionals interact with spatial data. You will work on mission-critical 9-1-1 and enterprise applications, leveraging modern cloud platforms and AI frameworks to deliver intelligent geospatial solutions. DATAMARK Technologies is a technology division of Michael Baker International dedicated to building mission-critical geospatial and public safety solutions that operate where reliability is non-negotiable. The division designs and delivers cloud-native geospatial platforms that integrate advanced AI and machine learning capabilities into spatial data workflows — powering applications that sit inside live public safety call flows and enterprise operating environments where accuracy and uptime directly impact outcomes. DATAMARK Technologies serves public safety agencies and enterprise clients across the United States, providing intelligent geospatial solutions built on modern, autonomous, and scalable architectures. The team combines deep domain expertise in spatial data engineering with a forward-leaning approach to AI-driven automation, enabling clients to move faster, operate smarter, and make better decisions from their geospatial data. DATAMARK Technologies represents Michael Baker International's commitment to technology innovation at the intersection of geography, intelligence, and public safety.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
3+ years of full-stack web application development experience
Proficiency in modern frontend frameworks (React, Angular, or Vue) and TypeScript/JavaScript
Backend development experience in Node.js, Python, or a comparable language
Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)
Experience designing and consuming RESTful APIs
Working knowledge of microservices and serverless concepts
Familiarity with relational databases and SQL
Experience writing automated tests and treating tests as part of the definition of done
Comfort with version control, collaborative development, and agile methodologies

Nice To Haves

Exposure to enterprise GIS technologies (Esri ArcGIS, MapLibre, Mapbox, PostGIS) or other spatial data
Experience building AI-powered features, agentic workflows, or LLM integrations
Familiarity with prompt engineering and AI development frameworks
Cloud certifications (Solutions Architect, Developer, or DevOps)
Experience with containerization (Docker) and orchestration
Understanding of indoor mapping standards or public safety GIS workflows
Awareness of SOC 2 and/or FedRAMP compliance requirements
Experience with test automation and test-driven development
Experience with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar)

Responsibilities

Design and develop cloud-native, AI-integrated microservices and full-stack applications
Integrate AI/ML capabilities into geospatial applications using enterprise AI platforms and LLM APIs
Contribute to autonomous features for data quality validation, spatial analysis, and workflow automation
Build serverless services and RESTful APIs for geospatial data
Apply security guardrails, multi-tenant isolation, and compliance measures to AI-powered features
Adopt AI-assisted software development practices, including AI-augmented code review and intelligent DevOps
Integrate enterprise GIS platforms and spatial data processing capabilities
Contribute to CI/CD pipelines using infrastructure-as-code principles
Participate in code reviews and help establish engineering best practices