.NET Core Developer with AWS & Agentic AI, Gurugram

.NET Core Developer with AWS & Agentic AI, Gurugram

1 Nos.
133353
Full Time
7.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 30.00 LPA
IT Software - System Programming
IT-Software/Software Services
Any - Any Graduation
Job Description:

Job Description – .NET Core Developer with AWS & Agentic AI

Role Overview

We are seeking a highly skilled .NET Core Developer with strong expertise in AWS services and exposure to Agentic AI frameworks. The ideal candidate will design, develop, and deploy scalable applications, integrating cloud-native solutions and modern AI capabilities. Experience with Angular for front-end development is a strong plus.

Key Responsibilities

  • .NET Core Development: Build and maintain robust backend services and APIs.
  • AWS EC2: Deploy and manage applications on EC2 instances.
  • AWS CloudWatch: Implement monitoring, logging, and alerting for system health.
  • AWS Lambda: Create serverless functions for event-driven workflows.
  • SQS: Design and manage message queues for distributed systems.
  • RDS: Work with relational databases, ensuring performance and scalability.
  • S3 Bucket: Manage storage solutions for application assets and data.
  • CloudTrail: Ensure compliance and auditing through activity tracking.
  • Glue Job: Develop ETL pipelines for data integration and transformation.
  • Agentic AI: Integrate AI agents into workflows for automation and intelligent decision-making.
  • Angular (Good to have): Build interactive front-end components for seamless user experiences.

Required Skills

  • Strong proficiency in C# and .NET Core.
  • Hands-on experience with AWS services (EC2, Lambda, SQS, RDS, S3, CloudWatch, CloudTrail, Glue).
  • Knowledge of Agentic AI frameworks and their integration with enterprise applications.
  • Familiarity with RESTful APIs, microservices architecture, and CI/CD pipelines.
  • Exposure to Angular or other modern front-end frameworks.
  • Strong problem-solving, debugging, and optimization skills.

Nice-to-Have

  • Experience with Docker & Kubernetes for containerized deployments.
  • Knowledge of DevOps practices and infrastructure-as-code (Terraform/CloudFormation).
  • Familiarity with data engineering and ETL pipelines.
Key Skills :
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