Senior Developer - Information Technology

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Description

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.

Job overview and responsibilities

The Senior Developer will be responsible for the design, development, and evolution of United's Ticketing Platform. This role will lead the transition from legacy mainframe development approaches toward cloud-native architecture and AI-enabled, spec-driven software engineering while delivering scalable solutions that support critical ticketing capabilities across the enterprise.

The ideal candidate combines deep technical expertise with strong leadership, communication, and mentoring skills. This individual will partner with Product to translate business outcomes into actionable solutions, collaborate with Engineering and Architecture on technical design, work with EQE to strengthen quality and automation, and coach developers as they grow their technical and professional capabilities.

• Lead technical design phases by configuring AI agents to ingest Product Requirements Documents (PRDs), business requirements, system architectures, and approved engineering standards.
• Orchestrate agent workflows that transform high-level business and technical artifacts into detailed, implementation-ready specifications for microservices and platform capabilities.
• Oversee the end-to-end design, development, documentation, testing, deployment, and support of backend solutions built on C# and .NET Core.
• Lead the decomposition of legacy mainframe ticketing capabilities into scalable, resilient, and cloud-native services.
• Design event-driven architectures and communication patterns leveraging Solace messaging technologies.
• Define and govern API contracts, policies, security standards, and routing rules managed through Kong API Gateway.
• Architect scalable, resilient, and secure infrastructure deployments across AWS services, including ECS, EKS, Lambda, RDS, and related cloud-native technologies.
• Maintain and enhance CI/CD pipelines using GitHub Actions and Harness to automate build, testing, security validation, deployment, and release activities.
• Continuously refine AI prompt pipelines, validation practices, and engineering guardrails to improve the accuracy, completeness, and quality of agent-generated technical specifications.
• Lead API integrations between internal platforms, external systems, and cloud services using API-first design principles.
• Collaborate closely with Product Managers and business stakeholders to translate business capabilities into scalable technical solutions and delivery plans.
• Partner with Engineering, Architecture, EQE, Platform Engineering, and Operations teams to ensure solution quality, successful delivery, and operational readiness.
• Facilitate technical discussions, design reviews, and architecture assessments, helping cross-functional teams reach clear and timely decisions.
• Highlight and document risks, issues, blockers, dependencies, and technical decisions while driving resolution plans with the appropriate stakeholders.
• Mentor and coach developers in software engineering best practices, cloud-native design, AI-assisted development, technical problem-solving, and software craftsmanship.
• Foster a culture of technical excellence, continuous learning, accountability, inclusion, collaboration, and innovation.
• Champion quality engineering by partnering with EQE to improve automation, testability, reliability, and overall software quality throughout the development lifecycle.
• Communicate complex technical concepts clearly to technical and non-technical audiences, and build trusted relationships across the organization.
• Stay current with industry best practices and emerging technologies in distributed systems, cloud engineering, API development, platform engineering, and AI-enabled software delivery.

What’s needed to succeed (Minimum Qualifications):

• Bachelor's degree in Computer Science, Engineering, or related field preferred
• 3+ years of experience in software development
• Experience in the design, development, documentation, testing, and debugging of enterprise software systems
• Deep expertise in C# development, .NET Core, and advanced object-oriented design principles
• Strong experience designing and developing distributed systems, microservices, and API-first architectures
• Experience modernizing legacy or mainframe-based applications into cloud-native architectures
• Production experience with enterprise integration technologies, including Solace messaging and Kong API Gateway
• Proven experience building cloud-native applications and infrastructure on AWS
• Advanced experience with CI/CD automation tools, including GitHub Actions and Harness
• Hands-on experience integrating AI coding agents, large language model workflows, or AI-assisted engineering practices into the software development lifecycle
• Strong understanding of spec-driven development, technical documentation, and automated software delivery practices
• Experience working within Agile/Scrum or SAFe frameworks and tools such as Jira, Confluence, or Azure DevOps
• Demonstrated ability to collaborate effectively across Product, Engineering, Architecture, EQE, Platform Engineering, and Operations organizations
• Strong verbal and written communication, stakeholder management, facilitation, and leadership skills
• Experience mentoring developers and fostering technical and professional growth within engineering teams
• Ability to influence without direct authority, navigate differing perspectives, and build alignment across cross-functional teams
• Strong analytical, problem-solving, decision-making, and organizational skills in a fast-paced delivery environment
• 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

What will help you propel from the pack (Preferred Qualifications):

• Experience supporting airline Ticketing, Order Management, Reservation Systems, Passenger Services Systems, or related airline technology platforms
• Knowledge of Generative AI frameworks, prompt engineering, AI agent orchestration, and evaluation techniques
• Proficient in Python scripting for automation, data analysis, and operational tooling.
• Experience leading adoption of emerging engineering practices and technologies
• Experience serving as a technical mentor, coach, development lead, or facilitator of an engineering community of practice
• Experience designing highly scalable event-driven architectures and platform services
• Familiarity with Domain-Driven Design (DDD), event sourcing, CQRS, and cloud-native architecture patterns
• Experience driving quality improvements in partnership with Quality Engineering teams
• Agile experience

The base pay range for this role is $112,480.00 to $146,540.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com