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.NET AWSDeveloper w​/OpenSearch​/Elasticsearc

Job in Northern, Floyd County, Kentucky, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-09-07
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software), AWS
Salary/Wage Range or Industry Benchmark: 80 - 140 USD Hourly USD 80.00 140.00 HOUR
Job Description & How to Apply Below
Position: .NET AWS Developer w/ Open Search/Elasticsearc
Location: Northern

.NET AWS Developer w/ Open Search/Elasticsearc

New York, New York

09/04/2026

Contract

Active

Job Description:

Job Summary

The Senior .NET Developer will design and develop scalable, cloud-native applications using C#, .NET Framework, .NET Core, and modern .NET versions. The role requires strong expertise in microservices, REST APIs, event-driven architecture, distributed systems, and AWS services, along with mandatory hands-on experience with Open Search or Elasticsearch. The developer will build search-driven applications, optimize search performance, develop cloud integrations, and contribute to AI-powered application capabilities.

Generative AI experience is preferred, particularly with LLMs, RAG, AWS Bedrock, Agentic AI, prompt engineering, and vector databases.

Required Qualifications
  • Strong experience with C#, .NET Framework, .NET Core, and .NET 6/7/8.
  • Strong expertise in Microservices Architecture, REST APIs, and Event-Driven Architecture.
  • Hands-on experience with AWS services including Lambda, API Gateway, SQS, SNS, Step Functions, S3, and RDS.
  • Experience designing and developing scalable cloud-native applications.
  • Strong understanding of distributed systems and API integrations.
  • Minimum 2+ years of hands-on experience with Open Search and/or Elasticsearch.
  • Experience designing search solutions and developing search integrations.
  • Experience implementing indexing strategies and data ingestion pipelines.
  • Experience with query optimization, performance tuning, and search relevance tuning.
  • Experience building search-driven applications.
Preferred Qualifications
  • Experience with Large Language Models (LLMs).
  • Experience with Retrieval-Augmented Generation (RAG).
  • Experience with AWS Bedrock.
  • Experience with Agentic AI.
  • Experience with prompt engineering.
  • Experience with vector databases.
  • Experience with Docker and Kubernetes.
  • Experience building AI-powered search and recommendation systems.
  • Experience working in Agile/Scrum environments.
  • AWS certification such as Solutions Architect, Developer, or Dev Ops Engineer.
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