We are seeking a highly experienced Senior Full Stack Developer with 10+ years of software development experience and strong expertise in .NET, C#, Azure Cloud Services, SQL Server, PostgreSQL, and AI/ML technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable enterprise applications, cloud-native solutions, and data-driven platforms.
This role requires hands-on experience in full-stack application development, cloud architecture, database design, API development, and the application of AI/ML solutions to solve business challenges.
ResponsibilitiesKey Responsibilities
Application Development
- Design, develop, and maintain scalable full-stack applications using .NET Core, ASP.NET Core, and C#, Python and .Net
- Build and optimize RESTful APIs and backend services for enterprise-grade applications.
- Develop responsive, user-friendly web applications and ensure seamless integration with backend systems.
- Implement software design patterns, coding standards, and best practices to ensure high-quality deliverables.
- Conduct code reviews and contribute to architectural and technical design discussions.
Cloud Development
- Design, deploy, and manage applications on Microsoft Azure.
- Develop cloud-native solutions leveraging Azure services.
- Implement secure, scalable, and highly available cloud architectures.
- Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, Azure Kubernetes Service (AKS), and Azure DevOps.
- Monitor and optimize cloud resources for performance, security, and cost efficiency.
Database Development
- Work with SQL Server and PostgreSQL to design efficient database schemas and data models.
- Write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
- Perform database performance tuning, indexing, and query optimization.
- Manage data workflows, data integration processes, and ensure data integrity across systems.
- Support business intelligence, reporting, and analytics initiatives.
AI/ML & Advanced Analytics
- Apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to solve business problems and improve operational efficiency.
- Collaborate with data scientists and stakeholders to develop and deploy predictive and analytical models.
- Integrate AI/ML capabilities into enterprise applications.
- Support data analytics, statistical modeling, and business insight generation.
- Evaluate emerging AI technologies and recommend innovative solutions.
Architecture & Integration
- Design scalable and maintainable application architectures.
- Implement microservices and distributed system architectures.
- Integrate enterprise applications, databases, cloud services, and third-party systems.
- Ensure application security, reliability, scalability, and maintainability.
Collaboration & Leadership
- Work closely with cross-functional teams including Product Management, Data Engineering, Business Analysts, and DevOps teams.
- Mentor junior developers and provide technical leadership.
- Participate in Agile ceremonies including sprint planning, retrospectives, and technical reviews.
- Drive technical innovation and continuous improvement initiatives.
Required Qualifications
Education
- Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related field.
Experience
- 10+ years of experience in software development.
- Extensive experience in enterprise application development using .NET and C#.
- Hands-on experience with Microsoft Azure Cloud Services.
- Strong experience in database design, development, and optimization using SQL Server and PostgreSQL.
- Experience working on AI/ML-enabled applications or data-driven solutions.
Required Technical Skills
Backend Development
- C#
- .NET Framework
- .NET Core / ASP.NET Core
- RESTful API Development
- Microservices Architecture
- Web Services Integration
- python
Frontend Development
- JavaScript
- TypeScript
- React.js, Angular, or equivalent frameworks
- HTML5
- CSS3
- Responsive Web Design
Cloud Platforms & Services
- Microsoft Azure
- Azure App Services
- Azure Functions
- Azure Storage
- Azure SQL Database
- Azure Kubernetes Service (AKS)
- Azure DevOps
- Azure Active Directory
- Application Insights
- Cloud Security and Governance
Databases
- Microsoft SQL Server
- PostgreSQL
- Database Design
- Data Modeling
- Stored Procedures
- Query Optimization
- Performance Tuning
- Data Integration
AI/ML
- Machine Learning Fundamentals
- Predictive Analytics
- Data Mining
- Statistical Analysis
- AI/ML Model Integration
- Data-Driven Application Development
DevOps & Tools
- Git
- Azure DevOps
- CI/CD Pipelines
- Docker
- Kubernetes
- Agile/Scrum Methodologies
Preferred Qualifications
- Experience with Databricks, Azure Machine Learning, or AI services.
- Knowledge of Generative AI and Large Language Models (LLMs).
- Experience with event-driven architectures and messaging platforms.
- Azure Certifications (AZ-204, AZ-305, AZ-400, AI-102) are highly desirable.
- Experience working in large-scale enterprise or cloud transformation projects.
Soft Skills
- Excellent problem-solving and analytical abilities.
- Strong communication and stakeholder management skills.
- Ability to lead technical discussions and mentor team members.
- Strong collaboration and teamwork mindset.
Ability to work in a fast-paced, Agile environment.
About UsHoneywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.Skills Required
- Bachelor's or Master's Degree in Computer Science, IT, Engineering, or related field
- 10+ years of software development experience
- Extensive experience with .NET and C# (including .NET Core and ASP.NET Core)
- Hands-on experience with Microsoft Azure and Azure services (App Services, Functions, Storage, Azure SQL, AKS)
- Database design and optimization experience with Microsoft SQL Server and PostgreSQL
- Experience building and optimizing RESTful APIs and backend services
- Experience with AI/ML-enabled applications and integrating ML models into applications
- Proficiency in Python
- Frontend development skills: JavaScript, TypeScript, React or Angular, HTML5, CSS3
- DevOps and tooling: Git, Azure DevOps, CI/CD pipelines, Docker, Kubernetes
- Experience with microservices, distributed systems, and cloud-native architecture
- Experience with Databricks, Azure Machine Learning, Generative AI/LLMs
- Knowledge of event-driven architectures and messaging platforms
- Azure Certifications (AZ-204, AZ-305, AZ-400, AI-102)
- Experience in large-scale enterprise or cloud transformation projects
Honeywell Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Honeywell and has not been reviewed or approved by Honeywell.
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Retirement Support — Retirement plans feature a notably strong company 401(k) match with vesting after three years, enhancing long-term savings security. Additional tax-advantaged accounts and company contributions for eligible earners further strengthen financial preparedness.
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Leave & Time Off Breadth — Time off policies include flexible or unlimited vacation for many salaried roles and a broad observed-holiday schedule, providing manager-approved flexibility. This structure supports rest and work-life balance across varied needs.
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Parental & Family Support — Parental leave offers paid time for birth, adoption, or foster care that can be taken consecutively or intermittently. The design enables practical flexibility in how family leave is used.
Honeywell Insights
What We Do
Honeywell is a Fortune 500 company that invents and manufactures technologies to address tough challenges linked to global macrotrends such as safety, security, and energy. With approximately 110,000 employees worldwide, including more than 19,000 engineers and scientists, we have an unrelenting focus on quality, delivery, value, and technology in everything we make and do.

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