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.