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 .