Senior .NET Developer

Location: Atlanta, GA 30328 (hybrid – 3 days onsite)

Type: Full‑time | Direct Hire

Compensation: up to $130,000 base + 5% bonus (depending on experience)

• Short‑ and Long‑Term Disability (STD/LTD)
• HSA & FSA options
• Paid Time Off (PTO)

About the Role:

We are seeking a Senior .NET Engineer to join a small, high‑impact R&D engineering team focused on proof‑of‑concept development, internal tooling, and applied AI solutions. This is not a traditional sprint‑driven application development role. The team works on problem‑first engineering, partnering with internal stakeholders (IT, Finance, Operations, Product) to understand complex challenges and rapidly build software, automation tools, and AI‑powered systems that support critical business initiatives.

This role is ideal for engineers who enjoy building, experimenting, and solving ambiguous problems, and who want to work closely with senior technical leadership in a collaborative, low‑bureaucracy environment.

What You’ll Do:

• Design, build, and iterate on proof‑of‑concept applications, internal tools, and shared services
• Develop backend‑focused solutions using C#, .NET / .NET Core, and SQL Server
• Build and deploy cloud‑native services on Microsoft Azure, leveraging PaaS components
• Prototype and integrate AI‑powered solutions, including agent‑based workflows and retrieval‑augmented systems
• Work closely with cross‑functional teams to translate business problems into working software
• Write clean, maintainable code and participate in technical discussions, design reviews, and knowledge sharing
• Operate comfortably in an environment without rigid sprint cycles or predefined roadmaps

What We’re Looking For:

• 5+ years of professional software engineering experience
• Strong backend development experience with C# and .NET / .NET Core
• Hands‑on experience building and deploying solutions on Microsoft Azure
• Solid experience with SQL Server and data modeling
• Demonstrated experience building proofs of concept, internal tools, or experimental systems
• Exposure to applied AI solutions, such as agent‑based systems, Semantic Kernel (or equivalent), RAG, or LLM‑powered workflows
• Strong understanding of software engineering fundamentals, system design, and clean coding practices
• Excellent communication skills and comfort collaborating across technical and non‑technical teams

Bonus Skills (Nice to Have):

• Experience with agentic AI frameworks (Semantic Kernel, Lang Chain, or similar)
• Event‑driven or distributed system experience (messaging, async workflows)
• Observability and reliability tooling (Application Insights, Open Telemetry, logging/metrics)
• Prior work in R&D, innovation teams, or internal platform development
• Multi‑cloud exposure (AWS or GCP) alongside strong Azure experience