What are the responsibilities and job description for the Sr. Full Stack Software Engineer position at ExecutivePlacements.com?
Were building the team of a major healthcare services firm and looking for a Full Stack Software Engineer with strong C#/.NET development experience and a solid foundation in Machine Learning. This is an exciting opportunity to work on projects that combine traditional application development with data-driven, intelligent solutions.
Youll play a key role in designing, building, and deploying scalable software systems from the web interface to the backend and data layers while collaborating with data scientists to bring ML models into production environments.
Key Responsibilities
Design, develop, and maintain full stack applications using C#, .NET, and modern front-end frameworks (e.g., React, Angular, or Vue)
Integrate and deploy machine learning models into production systems
Collaborate with data scientists to operationalize ML pipelines and ensure performance and scalability
Build and consume APIs to connect front-end and back-end systems
Write clean, maintainable, and testable code following best practices and design patterns
Participate in architecture discussions, code reviews, and continuous improvement initiatives
Troubleshoot and resolve complex software issues in development and production environments
Stay up to date with emerging technologies in .NET and ML frameworks
Qualifications
Required:
3 years of experience in C# and .NET Core development
Hands-on Experience With SQL Server Or Other Relational Databases
Experience with front-end frameworks (React, Angular, or similar)
Familiarity with RESTful APIs, microservices, and cloud platforms (Azure preferred)
Working knowledge of machine learning frameworks such as TensorFlow, PyTorch, or ML.NET
Strong understanding of object-oriented design and software engineering principles
Preferred
Experience deploying ML models into production environments
Knowledge of Azure Machine Learning or similar cloud ML services
Familiarity with data engineering concepts and tools
Understanding of CI/CD pipelines, Docker, and Kubernetes
Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience)
The Opportunity
Opportunity to work on cutting-edge applications in healthcare services that blend software engineering and AI
Collaborative, innovative, and supportive team environment
Competitive salary and comprehensive benefits package
Professional growth opportunities and ongoing learning support
Youll play a key role in designing, building, and deploying scalable software systems from the web interface to the backend and data layers while collaborating with data scientists to bring ML models into production environments.
Key Responsibilities
Design, develop, and maintain full stack applications using C#, .NET, and modern front-end frameworks (e.g., React, Angular, or Vue)
Integrate and deploy machine learning models into production systems
Collaborate with data scientists to operationalize ML pipelines and ensure performance and scalability
Build and consume APIs to connect front-end and back-end systems
Write clean, maintainable, and testable code following best practices and design patterns
Participate in architecture discussions, code reviews, and continuous improvement initiatives
Troubleshoot and resolve complex software issues in development and production environments
Stay up to date with emerging technologies in .NET and ML frameworks
Qualifications
Required:
3 years of experience in C# and .NET Core development
Hands-on Experience With SQL Server Or Other Relational Databases
Experience with front-end frameworks (React, Angular, or similar)
Familiarity with RESTful APIs, microservices, and cloud platforms (Azure preferred)
Working knowledge of machine learning frameworks such as TensorFlow, PyTorch, or ML.NET
Strong understanding of object-oriented design and software engineering principles
Preferred
Experience deploying ML models into production environments
Knowledge of Azure Machine Learning or similar cloud ML services
Familiarity with data engineering concepts and tools
Understanding of CI/CD pipelines, Docker, and Kubernetes
Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience)
The Opportunity
Opportunity to work on cutting-edge applications in healthcare services that blend software engineering and AI
Collaborative, innovative, and supportive team environment
Competitive salary and comprehensive benefits package
Professional growth opportunities and ongoing learning support
