Fullstack Software Engineer

Candidates will be required to complete identity verification and one face to face interview at one of our offices nationwide.

This position operates on a remote work schedule in the United States.

No sponsorship is provided for this role; all candidates must be eligible to work for any employer in the United States without restrictions indefinitely.

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 Full Stack Software Engineer to join the DATAMARK Technologies team in a hybrid capacity, supporting clients and operations across the United States in one of our many offices. 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.

What You'll Do

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

What You Need to Succeed

Required

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

Preferred

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)

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

Originally posted on Himalayas