.NET API Architect (AWS Exp)

Hello,

 

Description: .NET API Architect (AWS Exp)

Location:  Carmel, Indiana.  (5 days week onsite) (Local Candidates preferred)

 

JD:

Role Overview

We are seeking a proactive, detail-oriented .NET API Architect to drive end-to-end technical solutions in a fast-paced environment. This role requires 15+ years of overall IT experience, including 6 to 8 years of specific exposure to API architecture and cloud solutioning. This is a hybrid or on-site position, offering the chance to bridge the gap between business needs and technical execution. You will act as a key individual contributor, collaborating with external partners to build resilient, cloud-native systems.

Experience & Job Setup

• Overall Experience: 15+ years in IT.
• Specialized Exposure: 8- 10 years in API architecture.

Key Responsibilities:

• Architecture & Solutioning: Translate complex business requirements into scalable, high-performing technical solutions.
• API & Microservices Design: Design and develop robust RESTful services and microservices architectures.
• System Documentation: Author comprehensive High-Level Design (HLD) and Low-Level Design (LLD) documents.
• Technical Diagramming: Utilize tools like Lucidchart or Draw.io to map architecture and system workflows.
• Stakeholder Management: Partner with external stakeholders to integrate third-party systems seamlessly.
• Independent Problem Solving: Troubleshoot and resolve complex technical issues autonomously. 

Technical Expertise

Core .NET & Database

• Languages & Frameworks: C#, .NET Core.
• ORM Tools: Entity Framework.
• Database Management: PostgreSQL design, query optimization, and performance tuning.

AWS Cloud Ecosystem

• Serverless & Compute: AWS Lambda.
• Messaging & Integration: SQS, EventBridge.
• Data & Storage: AWS Glue, Amazon S3.
• Management & Monitoring: CloudWatch, Parameter Store.

DevOps & Advanced Concepts

• CI/CD Deployment: Harness (or similar configuration management tools).
• Architectural Patterns: Domain-Driven Design (DDD) and monolithic decomposition strategies.
• Resiliency Engineering: Implementation of idempotency strategies for fault-tolerant systems.
• AI-Assisted Development: Hands-on experience with Cursor (or similar AI tools) and Large Language Models (LLMs).
  
  
   

  Shubham Saxena

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  e: 

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