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 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.