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
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Own and drive the full-stack design for scalable and secure software solutions.
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Enforce best practices in Java OR C#/.NET, Angular, SQL Server, and microservices architecture.
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Define and evangelize coding standards
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Lead the adoption of modern backend and frontend technologies to improve performance and maintainability.
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Turning Around Troubled Products & Technical Debt Reduction
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Assess and stabilize struggling products by identifying performance bottlenecks and inefficiencies.
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Implement refactoring strategies for monolithic applications, migrating to microservices where needed.
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Optimize database performance, indexing, and query tuning to ensure scalability.
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Improve API reliability, reduce latency, and optimize system integrations.
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Hands-on Development & Engineering Excellence
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Lead by example with hands-on coding, design reviews, and performance tuning.
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Ensure robust unit testing, integration testing, and automated deployments.
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Champion security best practices across the stack, ensuring compliance with industry standards.
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Work closely with frontend, DevOps, and data teams to create a cohesive development environment.
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Mentorship & Technical Influence
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Mentor and coach senior engineers across backend and full-stack domains.
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Partner with product leadership to ensure alignment between technical strategy and business objectives.
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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.
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Evaluate, pilot, and roll out AI tools and platforms across development teams, integrating them into day-to-day workflows and CI/CD pipelines.
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Define and implement guidance and best practices for using generative AI in secure, compliant, and performance-conscious ways.
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Collaborate with engineering leaders and platform teams to measure impact, gather feedback, and continuously improve AI adoption strategy.
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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).
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Database: Deep knowledge of SQL Server, query optimization, indexing, and database performance tuning.
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Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps best practices.
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Strong understanding of system security, authentication (OAuth, JWT), and scalability principles.
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Experience driving AI-assisted engineering transformation, with hands-on use and rollout of tools like Copilot, Amazon Q, or similar platforms
Soft Skills & Leadership:
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Proven ability to turn around struggling products and reduce technical debt.
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Strong architectural vision and ability to influence engineering direction across multiple teams.
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Excellent mentorship skills, with a track record of developing senior engineers into technical leaders.
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Ability to communicate technical strategies to both engineering teams and executive leadership.
