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.
