AI-Driven Full Stack Tech Lead | .NET & C#

Rivago Infotech Inc; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

Rivago Infotech Inc. is seeking a Full Stack Development Lead to provide hands‑on technical leadership for AI‑led software delivery, while contributing to production‑grade microservices using .NET and C#.

You will guide engineering teams, set guardrails, review architecture and code quality, and ensure responsible AI usage across the SDLC. The role requires deep expertise in .NET/C#, microservices, API design, and CI/CD practices, with a focus on mentoring and cross‑functional collaboration.

Qualifications

• Hands-on .NET/C# backend with microservices and APIs.
• Experience leading development teams in complex delivery programs.
• Strong knowledge of microservices architecture and API design.
• Proficient in databases, SQL, transactions, and performance tuning.
• Familiar with AI coding assistants in delivery workflows.
• CI/CD driven delivery and secure coding practices.

Responsibilities

• Provide hands‑on technical leadership for AI‑led software delivery.
• Lead design, development, testing, and delivery of scalable microservices.
• Define service boundaries, API contracts, resilience patterns, and deployments.
• Establish guardrails for AI‑generated code and review standards.
• Mentor developers on prompt engineering and AI‑assisted development.
• Collaborate with product, architecture, and delivery stakeholders.
• Own risk identification, dependencies, and delivery quality improvements.

Skills

Hands-on .NET/C# backend

Microservices architecture

API design

Team leadership

Delivery guardrails

Observability and resilience

CI/CD practices

AI-assisted development

Code review and mentorship

Strong communication

Tools

GitHub Copilot

Claude

Job description

Rivago Infotech Inc. is seeking a Full Stack Development Lead to provide hands‑on technical leadership for AI‑led software delivery, while contributing to production‑grade microservices using .NET and C#.

You will guide engineering teams, set guardrails, review architecture and code quality, and ensure responsible AI usage across the SDLC. The role requires deep expertise in .NET/C#, microservices, API design, and CI/CD practices, with a focus on mentoring and cross‑functional collaboration.