6 - 10 years
0 Lacs
Posted:None|
Platform:
Remote
Full Time
We are seeking a highly skilled and experienced Full Stack Developer with a strong background in C#.NET and hands-on experience with AWS services, especially Lambda, Kinesis, and DynamoDB. The ideal candidate should be proficient in developing scalable, serverless applications and working across front-end and back-end technologies.
Design, develop, and maintain scalable and high-performing full stack applications.
Write clean, efficient, and testable C#.NET code for backend APIs and services.
Build and deploy serverless functions using AWS Lambda and other cloud-native tools.
Integrate with and manage streaming data via Amazon Kinesis.
Design, model, and maintain NoSQL data structures using Amazon DynamoDB.
Develop and maintain front-end components (React/Angular/Blazor, based on project).
Collaborate with product managers, architects, and other developers to understand requirements and deliver high-quality solutions.
Ensure code quality through unit testing, code reviews, and adherence to best practices.
Monitor and optimize system performance and cloud cost efficiency.
Document software architecture, workflows, and APIs.
Minimum 6 years of experience in full stack development.
Strong proficiency in C# and .NET Core / .NET 6+.
Solid hands-on experience with AWS Lambda, Kinesis, and DynamoDB.
Experience in designing and building serverless architectures.
Experience with other AWS services such as API Gateway, S3, CloudWatch, IAM.
Good understanding of RESTful APIs, asynchronous programming, and microservices.
Familiarity with front-end technologies like React, Angular, or Blazor.
Experience with DevOps tools and CI/CD pipelines (e.g., CodePipeline, GitHub Actions).
Knowledge of event-driven architecture and real-time data streaming.
Strong problem-solving and debugging skills
Excellent communication and collaboration abilities.
Experience with Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform.
Knowledge of GraphQL, WebSockets, or gRPC.
Experience working in an Agile/Scrum environment.
Exposure to logging/monitoring tools (e.g., Datadog, ELK stack).
Bachelors/Masters degree in Computer Science, Engineering, or a related field.
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