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.Net Technical Lead​/Architect

Job in Austin, Travis County, Texas, 78716, USA
Listing for: The Value Maximizer
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Role: .NET Technical Lead/Architect

Looking for an experienced .NET Architect to lead application migration, modernization, and cloud-native development on AWS. Must have strong hands-on expertise in C#, .NET Core, microservices, and AWS services, with the ability to guide teams and define end-to-end architecture.

Responsibilities
  • Architect and lead migration of .NET applications to AWS Landing Zones (lift & shift + modernization)
  • Break monolithic .NET apps into scalable microservices using .NET Core/.NET 6+
  • Design cloud-native solutions using AWS services:
    Lambda, API Gateway, SQS, SNS, Step Functions, S3, Dynamo

    DB, Glue, RDS PostgreSQL
  • Provide architectural guidance, solution design, and technical leadership
  • Enable Dev Ops automation using CI/CD, Docker, Kubernetes/EKS, IaC
  • Ensure scalability, security, resiliency, and cost optimization across AWS workloads
  • Drive engineering best practices, code reviews, and quality frameworks
Required Skills
  • 12+ years in C#, .NET Framework, .NET Core/.NET 6/7/8
  • Strong in microservices, REST APIs, event-driven systems
  • Experience modernizing legacy .NET apps to .NET Core
  • Hands-on with AWS (Lambda, SQS, SNS, Step Functions, S3, RDS, Dynamo

    DB)
  • Strong database skills: SQL Server, Postgre

    SQL, Dynamo

    DB, Redis
  • Dev Ops experience with CI/CD pipelines, Docker, Kubernetes/EKS
  • Testing tools: xUnit, NUnit, Moq, Testcontainers
  • Strong understanding of architectural patterns (DDD, Clean Architecture)
Preferred
  • AWS certification (Solutions Architect / Developer / Dev Ops)
  • Experience in large-scale enterprise modernization programs
  • Strong communication and stakeholder leadership
Nice-to-Have Skills
  • Exposure to Generative AI concepts (LLMs, embeddings, simple RAG patterns)
  • Basic understanding of prompt engineering and LLM integration
  • Familiarity with Agentic AI concepts (AI agents, workflow automation)
  • Some experience with vector databases (Open Search, Pinecone, Redis Vector)
  • Awareness of AWS Bedrock services and foundational models (Claude, Llama, Titan)
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