Developer IV

Overview:

This role requires advanced hands‑on experience in .NET, C#, SQL, modern front‑end frameworks, and strong leadership in Agentic AI development, delivering proven results using AI coding assistant tools.

Responsibilities:

• - Lead design and development across the entire stack including front-end, business logic, data, and integration layers.
• Own and evolve architecture for an enterprise, multi-release SaaS platform (enhancements, modernization, scalability, and operability — not greenfield).
• Define, evolve, and govern enterprise-level architecture for complex, distributed systems.
• Design and deliver scalable, secure, and highly available applications using Microsoft .NET, C#, SQL, and modern front-end frameworks.
• Establish and enforce engineering standards, best practices, and architectural patterns.
• Drive API-first and microservices-based designs with clear contracts and reuse strategies.
• Provide technical leadership during build, release, deployment, and production operations (monitoring, incident support, RCA).
• Ensure high-quality code with strong emphasis on automated testing, performance, reliability, and security.
• Achieve and maintain strong code quality signals through comprehensive unit and integration tests.
• Collaborate with product, platform, security, and DevOps teams to align architecture with business goals.
• Participate in architecture reviews, design boards, and technical decision-making forums.
• Leverage AI coding assistants to improve engineering velocity and consistency while maintaining enterprise standards and avoiding over-engineering.
• Drive continuous improvement in tools, frameworks, quality practices, and development processes.‑end, business logic, data, and integration layers.‑level architecture‑end frameworks‑first and microservices‑based designs‑quality code with strong emphasis on ‑making forums

Qualifications:

• 10–15 years of experience with:
• .NET / .NET Core, C#, ASP.NET Core, Web API
• SQL Server or equivalent RDBMS (data modeling and performance tuning)
• Angular or equivalent modern front-end frameworks
• Deep expertise in software architecture, design patterns, and enterprise systems.
• Strong experience designing for production SaaS concerns: reliability, security, performance, scalability, and operational readiness.
• Demonstrated success using AI coding assistant tools to improve delivery outcomes (speed, quality, reduced rework/defects) while maintaining engineering standards.
• Ability to guide teams in responsible, enterprise-grade use of AI-assisted development (review, validation, security, compliance).

• Experience with Agentic AI concepts or integrating agent-based workflows into engineering/product systems (tool use, orchestration, guardrails).
• Familiarity with RAG / MCP and AI tool integration patterns.
• Cloud platforms (Azure/AWS/GCP)
• Docker, Kubernetes
• Advanced DevOps and observability practices (logs, metrics, traces)

Keywords

Principal Engineer | Architect | .NET | C# | Enterprise Architecture | Microservices | Agentic AI | AI Coding Assistants | SQL | Angular | Cloud