Principal Engineer

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 similar).
• Database: Deep knowledge of SQL Server, query optimization, indexing, and database performance tuning.
• Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps best practices.
• Strong understanding of system security, authentication (OAuth, JWT), and scalability principles.
• Experience driving AI-assisted engineering transformation, with hands-on use and rollout of tools like Copilot, Amazon Q, or similar platforms
  
  

Soft Skills & Leadership

• Proven ability to turn around struggling products and reduce technical debt.
• Strong architectural vision and ability to influence engineering direction across multiple teams.
• Excellent mentorship skills, with a track record of developing senior engineers into technical leaders.
• Ability to communicate technical strategies to both engineering teams and executive leadership.