.NET Developer V
Listed on 2026-10-19
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Software Development
.NET Developer, DevOps, Cloud Engineer - Software, Software Architect
Location:
Houston, TX
Pay: $70/hr
MUST BE Green Card or USC - Contract to hire role
We are seeking a Senior .NET Architect / Engineer to join our technical team on a 1-year contract role with strong potential for extension or conversion to a full-time employee (FTE) position. This role spans multiple high-impact projects, requiring a self-driven, independent technical leader who can design, build, and scale robust enterprise application.
Key ResponsibilitiesSoftware Engineering & Architecture: Design, build, and program high-performance applications from scratch using modern .NET frameworks (C#, .NET Core 8/10), REST APIs, and microservices architecture.
AWS-Native Cloud Infrastructure: Build and scale systems leveraging core AWS services (Lambda, API Gateway, S3, DynamoDB, MongoDB, RDS, SQS/SNS, IAM, and VPC).
Technical Leadership & Mentoring: Own technical solution design, lead architecture reviews, and mentor engineering peers.
Dev Ops & Infrastructure as Code (IaC): Implement robust CI/CD pipelines (Git Hub Actions / Azure Dev Ops), containerization (Docker, Kubernetes), and IaC (Terraform / Cloud Formation).
Observability & Performance: Drive system reliability and performance tuning using tools like Cloud Watch and Dynatrace.
AI-Assisted Development: Integrate modern AI tooling (Git Hub Copilot, Claude, AWS Bedrock) to accelerate software delivery, workflow automation, and code quality.
Advanced .NET Expertise: Deep mastery of C#, .NET Core (8/10), REST APIs, microservices, and canonical data modeling.
Cloud Architecture: Extensive hands‑on experience designing and deploying AWS-native applications.
Dev Ops & Tooling: Strong background in Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.
AI & Modern Tooling: Familiarity with GenAI tools (Copilot, ChatGPT, Claude) and prompt engineering to drive development efficiency.
Communication & Independence: Exceptional oral and written communication skills with the ability to operate autonomously as a self-driven technical owner.
Direct experience with large‑scale digital transformation projects.
Exposure to AI‑enabled data analysis, visualization, and Responsible AI principles (privacy, bias, compliance).
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