Senior Software Engineer

DATAMARK Practice 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. What We're Looking For Michael Baker International is seeking a Staff Software Engineer Geospatial & AI to join the DATAMARK Technologies team in a fully remote capacity, supporting clients and operations across the United States. In this senior individual contributor role, you will lead the design and development of cloud-native geospatial applications with deeply integrated AI capabilities, drive autonomous workflow engineering, and shape the AI-assisted development practices that define how the team builds and ships software. You will bring technical depth across full-stack development, geospatial platforms, and enterprise AI tooling — and you will apply that expertise to build systems that perform inside mission-critical public safety and enterprise environments. This is a hybrid role with two days of work in office at any of our U.S. locations ( https://mbakerintl.com/locations/ ). No sponsorship is provided for this role; all candidates must be eligible to work for any employer in the United States without restrictions indefinitely. What You'll Do 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. What You Need to Succeed Required Bachelor's Degree in Computer Science, Engineering, or a related field 8+ 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 Preferred Experience building AI-powered features, agentic workflows, or LLM integrations at production scale AWS Developer Associate or AWS Cloud Practitioner certification Familiarity with indoor mapping standards or public safety GIS workflows Knowledge of CI/CD automation and infrastructure-as-code practices Compensation The approximate compensation range for this position is $130,000 to $149,600. This compensation range is a good faith estimate for the position at the time of posting. Actual compensation is dependent upon factors such as education, qualifications, experience, skillset, and physical work location. Why Choose Us 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 #LI-JH6 #LI-HYBRID