.NET Full Stack Developer (.NET Core, ReactJS, SQL Server, AWS)
Department: Z- S&P SPGI ES Tech
Experience: 6 - 8 Years
- Design, develop, and maintain full stack applications using .NET (C#) for backend and React for frontend
- Build responsive, high-performance user interfaces using modern React frameworks and best practices
- Develop and expose RESTful APIs and backend services using .NET Core/.NET 6+
- Work with SQL Server for database design, optimization, and complex query handling
- Design and implement solutions using Graph Databases for relationship-driven data models
- Develop and deploy applications on AWS infrastructure, ensuring scalability, reliability, and performance
- Utilize Python for data processing, automation, or integration-related tasks
- Collaborate with cross-functional teams (Product, QA, DevOps) in Agile environments
- Ensure adherence to secure coding practices, performance optimization, and coding standards
- Participate in code reviews, unit testing, and CI/CD processes
- Maintain technical documentation for applications, APIs, and system design
- 6–8 years of experience in full stack development
- Strong proficiency in .NET / .NET Core (C#) for backend development
- Hands-on experience with React.js, including hooks, state management, and component-based architecture
- Strong experience with SQL Server, including schema design, stored procedures, and query optimization
- Experience working with Graph Databases (Neo4j, Amazon Neptune, or similar)
- Hands-on experience with AWS infrastructure, including services such as:
- EC2, S3, Lambda
- RDS or DynamoDB
- IAM, CloudWatch
- Proficiency in Python for scripting, automation, or backend/data processing tasks
- Strong understanding of REST API development and integration patterns
- Familiarity with microservices architecture and distributed systems
- Experience with version control systems (Git) and collaborative workflows
- Knowledge of CI/CD pipelines and DevOps practices
- Strong debugging, problem-solving, and analytical skills
- Experience with Graph-based use cases (recommendation engines, network analysis, fraud detection, etc.)
- Exposure to containerization tools (Docker, Kubernetes)
- Familiarity with frontend performance optimization and UI/UX best practices
- Experience with API gateways and event-driven architectures
- Knowledge of security best practices (OAuth, JWT, encryption)
- Experience in data-intensive or analytics-driven applications
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