Fullstack Software Engineer

Michael Baker International

Full Stack Software Engineer developing cloud-native geospatial applications with AI capabilities for Michael Baker International. Participating in end-to-end software development process and AI-driven solutions.

Posted 7/24/2026full-timeRemote • Alabama, Arizona, California, Colorado, Connecticut, Florida, Idaho, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $149,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing cloud-native applications with AI integration, focusing on microservices architecture, RESTful APIs, and geospatial data processing. Proficient in modern frontend frameworks and backend development, with a strong emphasis on CI/CD practices and security compliance.

Highest-signal resume keywords

Cloud-Native Application DevelopmentAI/ML IntegrationFull-Stack Web DevelopmentRESTful API DesignCI/CD Pipeline Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Microservices ArchitectureFrontend Frameworks (React, Angular, Vue)TypeScriptNode.jsPythonCloud Platforms (AWS, Azure, GCP)SQLAutomated TestingVersion ControlAgile Methodologies

Tools & Technologies

Enterprise AI PlatformsLLM APIsGIS PlatformsInfrastructure-as-Code

Industry Keywords

Geospatial ApplicationsData Quality ValidationSpatial AnalysisWorkflow AutomationServerless Services

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoogle Cloud PlatformJavaScriptMicroservicesNode.jsPythonReactSQLTypeScriptVue.js

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

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