Full Stack Development

Position: Full Stack Development
Duration:Long Term
Location: Atlanta, GA 30342 (Hybrid)
Year of experience : 5+ years

Must have :

• Ruby on Rails
• Nginix
• Data Engineering - API integrations, Data pipelines ETL etc.
• .Net, C#
• Lead material, Absolute spot-on Client/Stakeholder management

We are looking for a Full Stack Development Lead who can provide hands-on technical leadership for AI-led software delivery while continuing to contribute to production-grade microservices development using .NET and C#. This role is expected to guide engineering teams, define delivery guardrails, review architecture and code quality, and ensure responsible use of AI coding assistants across the SDLC.

Key Responsibilities

• Lead the design, development, testing, and delivery of scalable microservices using .NET, C#, APIs, and database-backed services.
• Provide technical direction to developers on service boundaries, API contracts, resilience patterns, integration design, and containerized deployment approaches.
• Drive AI-led SDLC adoption across development, test generation, refactoring, debugging, documentation, code review, and onboarding workflows.
• Establish engineering guardrails for AI-generated code, including code review standards, test coverage, security checks, maintainability expectations, and responsible usage practices.
• Mentor developers on prompt engineering, AI-assisted development, critical review of generated code, and productivity-focused engineering practices.
• Partner with product, business, architecture, and delivery stakeholders to convert business outcomes into high-quality technical delivery plans.
• Own technical risk identification, dependency management, delivery quality, and engineering productivity improvements for the development track.

Required Skills

• Strong hands-on expertise in .NET, C#, microservices development, APIs, and production-grade backend engineering.
• Demonstrated experience leading development teams or workstreams in complex application delivery programs.
• Deep understanding of microservices architecture, service decomposition, API design, resilience, observability, and deployment patterns.
• Strong database fundamentals including schema design, query optimization, transactions, SQL, and data access performance tuning.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, or similar tools in real delivery workflows.
• Ability to define AI-assisted engineering standards and critically review AI-generated code for correctness, security, maintainability, and performance.
• Experience with SDET practices, automated testing, quality engineering, secure coding, and CI/CD-driven delivery.
• Strong communication, mentoring, stakeholder management, and technical decision-making skills.