.Net Lead

Programmers.io

Houston (TX)

On-site

USD 150,000 - 210,000

Full time

2 days ago
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Job summary

Programmers.io in Houston is seeking an experienced .NET Lead to drive cloud-native engineering efforts and modern software practices across enterprise-scale applications. You will lead hands-on development in C#/.NET, mentor teams, and shape architecture around microservices, REST APIs, AI-driven productivity.

The role emphasizes scalability, security, and performance in a fast-paced environment. Strong AWS (SNS/SQS/CloudWatch) and Azure skills preferred; CI/CD, testing, and DevOps mindset are

Qualifications

  • 10+ years hands-on experience with C#/.NET development.
  • Strong expertise in Microservices, REST APIs and Distributed Systems.
  • 3–5 years AWS Cloud experience (SNS, SQS, CloudWatch) and Azure familiarity.

Responsibilities

  • Lead development of .NET applications and cloud-native architectures.
  • Mentor engineers, ensure quality, scalability, security and performance.
  • Drive CI/CD pipelines and automated testing to ship reliable software.

Skills

C# & .NET
Microservices
REST APIs
Distributed Systems
AWS Cloud
Azure Cloud
CI/CD pipelines
Automated testing
AI in software engineering

Job description

We are looking for an experienced .NET Lead with strong hands‑on development expertise and a passion for modern cloud, microservices, and AI‑driven engineering practices.

Requirements:

10+ years of hands‑on experience with C# & .NET application development

Strong expertise in Microservices, REST APIs & Distributed Systems

3–5 years AWS Cloud experience with:

  • AWS SNS
  • AWS SQS
  • CloudWatch

Strong Azure Cloud expertise will also be considered

  • Experience building and supporting large‑scale enterprise applications
  • Strong focus on scalability, reliability, security & performance
  • CI/CD pipelines, source control & automated testing
AI & Engineering Innovation

We’re especially interested in candidates who are actively leveraging AI to improve software engineering productivity, including:

Automated testing

Identifying and implementing AI-driven engineering efficiencies

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