Backend Engineer (C#.NET, AWS)

Backend Engineer (C#.NET, AWS) - ADV TECHMINDS | Career Page

Backend Engineer (C#.NET, AWS)

Bangalore, Karnataka, India

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Job Openings Backend Engineer (C#.NET, AWS)

About the job Backend Engineer (C#.NET, AWS)

Job Title: Backend Engineer (C#.NET, AWS)

Location: Remote

Experience Level: 7+ Years

About the Role

We are looking for skilled Backend Engineers who are passionate about building scalable, high-performance backend systems using C#.NET and AWS serverless technologies. You will work on mission-critical backend systems, develop microservices, and manage data pipelines and real-time data processing with AWS services like Lambda, Kinesis, and DynamoDB.

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable backend services using C#.NET
• Build and manage serverless components on AWS Lambda
• Implement real-time data streaming and processing solutions using AWS Kinesis
• Design and maintain performant NoSQL data models in DynamoDB
• Collaborate with frontend developers, product managers, and QA teams to deliver high-quality solutions
• Monitor and optimize application performance and ensure reliability
• Write clean, reusable, and testable code.
• Participate in code reviews and mentor junior developers (as applicable)

Required Skills

• 7+ years of professional experience in backend development using C#.NET/.NET Core
• Strong hands-on experience with AWS Lambda
• Experience working with AWS Kinesis for event streaming or data processing
• Proficient with DynamoDB, including data modeling and optimization techniques
• Solid understanding of RESTful API design and integration
• Knowledge of CI/CD pipelines and version control (Git)
• Strong debugging and troubleshooting skills

Good to Have

• Experience with other AWS services like API Gateway, SQS, CloudWatch, or Step Functions
• Familiarity with infrastructure as code (Terraform or AWS CloudFormation)
• Exposure to microservices architecture and event-driven design patterns
• Experience with logging, monitoring, and alerting tools (e.g., ELK, Datadog)

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