Sr IT Engineer

The Sr IT Engineer – AI Application Development is responsible for designing, developing, deploying, and supporting Honeywell Aerospace–specific AI‑enabled applications . This role focuses on building the application, UI, API, and data layers that consume AI services and APIs developed by AI/ML teams.

The position requires a cloud‑first full‑stack engineer with strong experience in Azure and Google Cloud Platform (GCP) , capable of delivering secure, scalable, and high‑performance enterprise applications that integrate AI capabilities into real business workflows

Key Responsibilities

AI‑Enabled Application Development

• Design, develop, and deploy AI‑enabled enterprise applications that consume AI and LLM‑based APIs
• Collaborate closely with AI developers and data scientists to integrate AI services into user‑facing and backend applications
• Translate business use cases into end‑to‑end application solutions spanning UI, API, and data layers

UI / UX Development

• Design and develop modern, responsive web‑based user interfaces
• Create quick wireframes and UI prototypes to validate concepts with business users
• Build and deploy UI applications using modern frameworks and tooling, including Vite‑based development

Full‑Stack & Web Application Development

• Develop and deploy full‑stack web applications using modern frontend and backend technologies
• Implement clean, modular, and maintainable code across the application stack
• Ensure applications meet enterprise standards for usability, scalability, and maintainability

API Development & Integration

• Design, develop, and deploy RESTful and event‑driven APIs
• Integrate with AI services, enterprise platforms, and external systems
• Ensure APIs are secure, scalable, well‑documented, and performance‑optimized

Database Design & Data Layer Implementation

• Perform database modeling and schema design for application use cases
• Implement and manage relational and/or NoSQL databases
• Ensure data access patterns are optimized for performance, reliability, and security

Performance Optimization & Code Quality

• Analyze application code and system behavior to identify optimization opportunities
• Perform application performance tuning across UI, API, and data layers
• Apply best practices for code quality, testing, and maintainability

Cloud Engineering & Configuration

• Configure, deploy, and manage applications on cloud platforms , primarily:
  • Microsoft Azure
  • Google Cloud Platform (GCP)
• Set up cloud resources, networking, storage, and runtime environments
• Ensure solutions follow cloud best practices for security, availability, and cost efficiency

Security & Identity

• Implement application security controls , including authentication and authorization
• Design and integrate SSO and identity solutions using enterprise identity providers
• Perform security hardening, vulnerability fixes, and ongoing security tuning

DevOps & Deployment

• Set up and manage CI/CD pipelines for application builds and deployments
• Automate deployments, configuration, and environment management
• Support DevOps practices to improve deployment speed, reliability, and quality

Operations, Defect Management & Cost Optimization

• Perform defect analysis, root‑cause investigation, and permanent fixes
• Provide ongoing application support and enhancements
• Manage cloud administration activities , including monitoring and cost optimization

Experience & Capabilities

• 6–8 years or more of experience as a full‑stack developer or IT engineer in enterprise environments
• Proven experience building and deploying cloud‑based applications end to end
• Strong experience integrating applications with AI / ML services and APIs
• Hands‑on experience delivering secure, production‑grade applications in global, enterprise settings
  

Technical Skills & Platforms

Frontend & UI

• Modern JavaScript / TypeScript frameworks
• UI development using Vite‑based tooling
• Responsive design and UI performance optimization

Backend & APIs

• Backend development using modern frameworks
• RESTful API design and implementation
• Integration with AI services and enterprise systems

Databases

• Relational and/or NoSQL database design and implementation
• Data modeling and query optimization

Cloud Platforms

• Strong experience with Microsoft Azure and Google Cloud Platform (GCP)
• Cloud application deployment, configuration, and monitoring

DevOps & Security

• CI/CD pipelines and automation
• Application security, SSO, and identity integration
• Cloud security best practices and cost optimization