Principal Engineer

Overview The Principal Full Stack Engineer is a technology leader responsible for end-to-end design, backend/frontend integration, and system scalability . This role requires deep expertise in C#/.NET, Angular, SQL, and AWS platform . In addition to defining technical strategy, the role demands strong problem-solving skills to turn around underperforming products and modernize legacy systems. Duties & Responsibilities Full Stack Architecture & Technical Leadership Own and drive the full-stack design for scalable and secure software solutions. Enforce best practices in Java OR C#/.NET, Angular, SQL Server, and microservices architecture . Define and evangelize coding standards Lead the adoption of modern backend and frontend technologies to improve performance and maintainability. Turning Around Troubled Products & Technical Debt Reduction Assess and stabilize struggling products by identifying performance bottlenecks and inefficiencies. Implement refactoring strategies for monolithic applications, migrating to microservices where needed . Optimize database performance, indexing, and query tuning to ensure scalability. Improve API reliability, reduce latency, and optimize system integrations . Hands-on Development & Engineering Excellence Lead by example with hands-on coding, design reviews, and performance tuning . Ensure robust unit testing, integration testing, and automated deployments . Champion security best practices across the stack, ensuring compliance with industry standards. Work closely with frontend, DevOps, and data teams to create a cohesive development environment. Mentorship & Technical Influence Mentor and coach senior engineers across backend and full-stack domains . Partner with product leadership to ensure alignment between technical strategy and business objectives . Influence technical direction across teams, fostering a culture of innovation and high standards . AI-Driven Development & Tooling Lead the adoption and effective usage of AI-assisted software development tools (e.g., GitHub Copilot, Amazon Q Developer, Sourcegraph Cody) to accelerate engineering productivity. Evaluate, pilot, and roll out AI tools and platforms across development teams, integrating them into day-to-day workflows and CI/CD pipelines. Define and implement guidance and best practices for using generative AI in secure, compliant, and performance-conscious ways. Collaborate with engineering leaders and platform teams to measure impact , gather feedback, and continuously improve AI adoption strategy. Stay current with the evolving AI landscape and assess the applicability of new tools to improve developer experience, code quality, and delivery velocity. Skills Required Backend: Expert in C#/.NET Core, ASP.NET, RESTful APIs, microservices, and cloud platforms (Azure preferred) . Frontend: Strong experience with Angular, TypeScript, and state management (NgRx or…