Applied Systems - Senior Full Stack Developer - .Net/React.js

Position Overview:

We are searching for a Senior Software Engineer to join our Engineering team in Bengaluru. This role is purpose-built around an AI-first engineering mindset - you will leverage AI tools and AI SDLC best practices across the entire product development lifecycle to accelerate delivery, elevate code quality, and drive innovation.

You will be a full-stack engineer at heart, writing production-grade code in .NET and React while championing a quality-first development culture. This role bridges product engineering and quality engineering - you will build features and own their quality end-to-end.

Mandatory Skills:

• Strong proficiency in .NET framework (C#, ASP.NET, .NET Core) for backend development.
• Proficiency with ReactJS and related ecosystem (Redux, React Router, hooks, context API).
• Strong knowledge of HTML5, CSS3, and modern JavaScript/TypeScript.
• Proficiency with microservice architecture, event-driven programming, and async design patterns.
• Hands-on experience designing and consuming RESTful APIs.
• Solid experience with relational databases such as SQL Server, MySQL, or PostgreSQL.
• Demonstrated quality-first mindset: experience writing unit tests, integration tests, and automated test suites.
• Familiarity with CI/CD pipelines and embedding automated quality gates.
• Proven ability to use AI-powered development tools (e.g., Claude, GitHub Copilot, ChatGPT) to accelerate the SDLC.

What You Will Do:

• Design, develop, and maintain full-stack web applications using .NET and ReactJS.
• Integrate and champion AI-powered development tools across the SDLC.
• Drive a quality-first development culture: author comprehensive unit, integration, and end-to-end tests.
• Collaborate with product managers, designers, QA engineers, and fellow developers.
• Architect and build microservice-based, event-driven systems.
• Mentor junior engineers on AI tool adoption and full-stack best practices.

Bonus Skills:

• Experience with AWS cloud services (EC2, Lambda, S3, RDS, ECS/EKS).
• Experience with containerization and orchestration tools - Docker & Kubernetes.
• Familiarity with GitLab CI/CD and observability platforms such as Datadog.
• Knowledge of AI/ML frameworks or platforms.