Senior Developer - IT Digital Service

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, IT will be responsible for the development of our critical applications within the contact centers. This role will need to have the expertise on technical development in Conversational Contact Center technologies including Web Chat, Voice IVR, Web Applications & Cloud platforms.

• Lead development, execution, and delivery of artifacts/code involving Conversational AI, IVR systems, chatbot/web chat solutions, and cloud-native web applications
• Collaborate with technology leads/developers, business SMEs, UX designers, and technology stakeholders to define technical deliveries
• Drive integration of Voice and Web-based channels with back-end systems, APIs and analytics platforms
• Champion Agile/Scrum methodologies, conducting sprint planning, stand-ups, and retrospectives
• Lead API integrations between internal platforms, external systems, and cloud services
• Collaborate with development, infrastructure, and product teams to gather integration requirements and translate them into scalable technical solutions
• Lead unit and integration testing and assist QA teams with end-to-end testing
• Stay current with industry best practices and emerging technologies in API development and integration
• Highlight and document risks, issues, blockers and dependencies; discuss with team project manager on regular basis
• Coordinate with Cloud infrastructure teams (AWS, Azure, or Google Cloud Platform) to ensure scalable, secure, and high-performance deployments
• Track delivery milestones and interdependencies across multiple teams
• Oversee vendor relationships and third-party integrations when applicable
• Support and guide the team in removing blockers, maintaining momentum, and ensuring quality
• 4+ years of hands on technical experience in Contact Center & CX platforms
• Proven experience delivering IVR, web chat, and AI-powered virtual assistant solutions
• Solid technical understanding of cloud platforms (AWS/Azure/Google Cloud Platform), APIs, CI/CD, web technologies, and DevOps practices
• Strong organizational and stakeholder management skills across technical and non-technical teams
• Experience with Agile/Scrum or SAFe frameworks and tools (e.g., Jira, Confluence, Azure DevOps)
• Excellent communication, leadership, and documentation abilities
• Knowledge of APIs, JSON, XML, and OAuth
• Experience with language: Node.js, Python
• Familiarity with CI/CD pipelines/DevOps and version control tools like Git
• Knowledge of customer journey mapping, persona design, and voice UX best practices
• Familiarity with compliance standards (e.g., GDPR, HIPAA, PCI-DSS) in cloud and CX solutions

Qualifications

What's needed to succeed (Minimum Qualifications):

• Bachelor's degree or 4 years of relevant work experience in Computer science engineering or relevant field
• Nice to have:
  
  
  • Cloud certification
  • SaFe Agile
• 4+ years of experience in design, development, documenting, testing, and debugging of new and existing software systems and/or applications for market sale or large-scale proprietary software for internal use in an agile environment.
• Web development, API integrations, Cloud technologies, contact center/IVR technologies, Chatbot creation & integrations
• Experience in Conversational AI domains
• Experience in chat/voice bots
• 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):

• Knowledge of NLP/NLU, LLMs, or Generative AI frameworks (e.g., OpenAI, Google Vertex AI, Amazon Bedrock) including data preparation, prompt design, testing, and feedback loops