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