Developer - Information Technology

United Airlines•Arlington Heights, IL

1d•$89,965 - $117,212

About The Position

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Requirements

Bachelor's degree in Computer science, software engineering, or related field
2+ years of related experience or successful completion of United DT Early Career Digital Leadership Program (ECDLP)
Proficient in a coding language and building back-end components
Hands-on experience using AI-assisted coding tools such as GitHub Copilot, Claude Code, or similar platforms to support software development, code review, testing, troubleshooting, and documentation
Working knowledge of Infrastructure as Code concepts, version-controlled configuration, automated environment provisioning, and integration with CI/CD delivery practices
Demonstrate advanced knowledge of development domain areas, specific technologies, toolsets, and responsible use of AI-assisted coding capabilities within the software development lifecycle
Problem solving
Attention to detail
Effective Communication (verbal + written)
Demonstrates and eagerness to learn
Demonstrate advanced knowledge of SDLC processes, inputs/outputs, standards and best practices
Demonstrate advance knowledge of development methodologies, software design and design patterns
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position

Nice To Haves

Cloud technologies (i.e., Azure, AWS)
Exposure to APPD & Dynatrace
Agile Methodologies
.Net, C, C++, C#, Java
HTML, Java Script (Angular 2.0, JS), CSS
SQL, Oracle, relational database experience, and non-relational database experience including NoSQL platforms such as DynamoDB, MongoDB, or similar technologies
Code repositories and source control platforms such as GitHub
Experience with GitHub, GitHub Copilot, Claude Code, or comparable AI-assisted software engineering tools
Experience using Jira or similar agile planning tools to manage user stories, backlog refinement, sprint execution, defects, dependencies, and delivery tracking
Ability to use Lucidchart, Lucidspark, or comparable visual collaboration tools to document architecture, process flows, system integrations, sequence diagrams, and solution designs
Infrastructure as Code and configuration management tools such as Terraform, CloudFormation, Azure Bicep, Chef, or Ansible
Familiarity with prompt engineering, AI-assisted code generation, automated test creation, refactoring support, and responsible validation of AI-generated technical outputs
Infrastructure knowledge, including cloud environments, deployment automation, environment configuration, networking basics, observability, and operational support considerations
Experience with modern Windows Server environments and enterprise server platform administration
Microsoft Office tools, PowerPoint, Excel
Dev Ops Experience
UI Analytics (Google Analytics)
Continuous Integration & Continuous Deployment
Mobile Technologies
Exposure to Couchbase NoSQL DB

Responsibilities

Assist in design, develop and modify software applications/systems
Collaborates with cross-functional teams to understand business requirements and deliver solutions
Provides support to the software development leads (Ex: Senior Developer)
Works on one or more moderate to complex projects
Applies security code best practices throughout development cycle
Support Infrastructure as Code practices to define, provision, configure, and maintain application environments in a repeatable, secure, and version-controlled manner
Use AI-assisted coding tools, including GitHub Copilot, Claude Code, and similar technologies, to accelerate development, improve code suggestions, generate test cases, support documentation, and reduce repetitive engineering tasks while validating all outputs for accuracy, security, and maintainability
Review and refine AI-generated code to ensure alignment with enterprise standards, architecture patterns, secure coding practices, and business requirements
Collaborate with DevOps, cloud, infrastructure, and security teams to align application delivery with automated deployment pipelines, environment configuration, monitoring, and operational readiness standards
Continuously improve development workflows by identifying opportunities to responsibly apply AI-assisted engineering capabilities across coding, debugging, testing, documentation, and knowledge sharing
Contributes to software documentation and user manuals
Complete comprehensive unit testing on all developed/enhanced software and supports deployment of software applications
Participates in code reviews to ensure code adheres to standards
Support and troubleshoot software systems as required, optimizing performance, resolving problems, and providing follow-up on all issues and solutions
Stays up to date on the latest industry trends and technology