Senior .Net Full Stack Developer – AI Applications (C#, .NET, Angular, GCP, DevOps, Microservices)

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Job Description:

Job Summary:

We are seeking a highly experienced and innovative Senior .NET Full Stack Developer to lead the development of AI-driven applications. This role involves designing and building scalable, cloud-native solutions that integrate advanced AI capabilities. The ideal candidate will have strong expertise in both front-end and back-end development, cloud platforms (preferably GCP), and a passion for creating intelligent, data-driven user experiences.

Key Responsibilities:

• Lead the design and development of full-stack AI applications using .NET technologies.
• Build intuitive and responsive UIs using Angular and ExtJs for AI-powered features.
• Develop robust backend services and APIs to support AI models and data pipelines.
• Collaborate with Data Scientists and AI Engineers to integrate ML models into applications.
• Architect and implement microservices and cloud-native solutions on GCP or Azure.
• Ensure performance, scalability, and security of AI applications.
• Drive DevOps practices including CI/CD pipelines, containerization, and automated testing.
• Mentor junior developers and contribute to technical leadership and code quality.
• Stay current with emerging AI technologies and development frameworks.
• Strong proficiency in C#, .NET Core, and ASP.NET MVC/Web API.
• Hands-on experience with Angular and ExtJs for modern web development.
• Expertise in SQL Server and data modeling.
• Experience with RESTful APIs, microservices architecture, and event-driven systems.
• Familiarity with AI/ML integration in applications (e.g., model serving, inference pipelines).
• Proficient in GCP (preferred) or Azure for cloud-native development.
• Strong DevOps skills: CI/CD, Docker, Kubernetes, Git, and IaC tools.
• Lead the design and development of full-stack AI applications using .NET technologies.
• Build intuitive and responsive UIs using Angular and ExtJs for AI-powered features.
• Develop robust backend services and APIs to support AI models and data pipelines.
• Collaborate with Data Scientists and AI Engineers to integrate ML models into applications.
• Architect and implement microservices and cloud-native solutions on GCP or Azure.
• Ensure performance, scalability, and security of AI applications.
• Drive DevOps practices including CI/CD pipelines, containerization, and automated testing.
• Mentor junior developers and contribute to technical leadership and code quality.
• Stay current with emerging AI technologies and development frameworks.
• Strong proficiency in C#, .NET Core, and ASP.NET MVC/Web API.
• Hands-on experience with Angular and ExtJs for modern web development.
• Expertise in SQL Server and data modeling.
• Experience with RESTful APIs, microservices architecture, and event-driven systems.
• Familiarity with AI/ML integration in applications (e.g., model serving, inference pipelines).
• Proficient in GCP (preferred) or Azure for cloud-native development.
• Strong DevOps skills: CI/CD, Docker, Kubernetes, Git, and IaC tools.

Primary Skills (Must Have):

• Unit testing frameworks: XUnit/NUnit, mocking libraries.
• Experience with GCP services: GKE, Apigee, BigQuery, Vertex AI, Spanner.
• Exposure to AI/ML lifecycle tools: MLFlow, TensorFlow Serving, etc.
• Knowledge of PowerBI or other data visualization tools.
• Agile methodologies (Scrum), Jira, Confluence.
• Education: Bachelor’s or Master’s in Computer Science, Information Technology, or related field.
• Unit testing frameworks: XUnit/NUnit, mocking libraries.
• Experience with GCP services: GKE, Apigee, BigQuery, Vertex AI, Spanner.
• Exposure to AI/ML lifecycle tools: MLFlow, TensorFlow Serving, etc.
• Knowledge of PowerBI or other data visualization tools.
• Agile methodologies (Scrum), Jira, Confluence.
• Education: Bachelor’s or Master’s in Computer Science, Information Technology, or related field.

Secondary Skills (Good To Have):

Qualifications:

• Experience: Minimum 5+ years in .NET Full Stack development, with at least 2 years in AI application projects.
• Certifications: GCP Developer, Azure Developer, or AI/ML-related certifications preferred.
• Soft Skills: Strong analytical thinking, excellent communication, leadership, and collaboration skills.
• UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
• Certifications: GCP Developer, Azure Developer, or AI/ML-related certifications preferred.
• Soft Skills: Strong analytical thinking, excellent communication, leadership, and collaboration skills.
• UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Employee Type:

Permanent