.Net Lead with AWS & AI

SRI Tech Solutions; Houston (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

SRI Tech Solutions in Houston, TX seeks a senior software engineer to lead C#/.NET development, microservices, and enterprise-scale apps. You will design RESTful APIs, optimize SQL schemas, and ensure security, reliability, and performance in production environments.

The role emphasizes CI/CD, code reviews, Agile practices, and hands-on Cloud work with AWS (SNS, SQS, CloudWatch, IAM) and Azure, plus applying AI-driven methods across the SDLC to boost productivity.

Qualifications

• 10+ years of hands-on experience in C# and .NET development.
• Strong expertise in Microservices, RESTful APIs, and distributed systems.
• Strong experience with SQL, DB design, optimization, and performance tuning.
• 3-5 years of hands-on AWS Cloud experience (SNS, SQS, CloudWatch, IAM).
• Azure Cloud expertise also considered.
• Experience building large-scale enterprise apps with focus on scalability, reliability, security, performance.
• Strong production support, debugging, monitoring, and incident resolution skills.
• CI/CD pipelines, source control, automated testing, and Agile methodologies.

Skills

C# & .NET development

Microservices

RESTful APIs

SQL & database design

Azure Cloud

Enterprise apps scalability

Production support & debugging

CI/CD & Agile

AI-assisted software development

Tools

AWS Cloud services (SNS, SQS, CloudWatch, IAM)

Azure Cloud services

Job description

Job Description-

Required Technical Skills

• 10+ years of hands-on experience in C# and .NET application development.
• Strong expertise in Microservices architecture, RESTful APIs, and distributed systems.
• Strong experience with SQL and database design, optimization, and performance tuning.
• 3-5 years of hands-on experience with AWS Cloud services, including:
  • SNS
  • SQS
  • CloudWatch
  • IAM Policies
• Candidates with strong Azure Cloud expertise will also be considered.
• Experience building and supporting large-scale enterprise applications with a focus on scalability, reliability, security, and performance.
• Strong experience in production support, debugging, monitoring, and incident resolution.
• Expertise in code reviews, design reviews, and software development best practices. Experience with CI/CD pipelines, source control, automated testing, and Agile development methodologies.

AI & Engineering Innovation

• Strong interest and practical experience in leveraging AI tools to improve software development productivity. Experience applying AI across the SDLC, including:
  • Coding assistance and automation
  • Reverse engineering and code understanding
  • Automated testing
  • Production debugging and troubleshooting
  • Technical design and documentation generation Ability to identify and implement AI-driven engineering efficiencies and best practices.