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Compunnel, Inc. in New York, NY is seeking a Senior .NET AWS Developer to design and build scalable cloud-native applications using C#, .NET Core/6/7/8. You will implement microservices, REST APIs, and event-driven patterns, with hands-on AWS services and OpenSearch/Elasticsearch for search-driven features.
The role emphasizes search optimization, data ingestion, and integration with AI-powered capabilities, including LLMs and RAG concepts, in a fast-paced Agile environment.
New York, New York
09/04/2026
Contract
Active
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 OpenSearch 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 OpenSearch 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 DevOps Engineer.