External Advertising Title Sr. Software Engineer

Position Overview

We’re searching for a Senior Software Engineer to join our Engineering team in Bengaluru location. 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’ll 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'll build features and own their quality end‑to‑end. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.

• Education:
  
  BE,
  
  B. Tech, M. Tech Only
• Experience Level: 5+ Years of hands‑on software engineering experience

• 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/Type Script.
• 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 as part of the development workflow. Ability to own quality end‑to‑end, not just hand off to QA.
• Familiarity with CI/CD pipelines and embedding automated quality gates (linting, static analysis, test coverage thresholds).
• Strong understanding of quality management principles — defect prevention, root cause analysis, test planning, and quality metrics tracking across the product engineering lifecycle.
• Hands‑on experience with quality engineering practices: test automation frameworks, performance/load testing, API contract testing, and shift‑left testing strategies to catch defects early in the SDLC.
• Proven ability to use AI‑powered development tools (e.g., Claude, Git Hub Copilot, ChatGPT, AI code‑review/test‑generation tools) to accelerate and improve the SDLC.
• Strong troubleshooting, debugging, and research abilities.
• Excellent communication skills and ability to work collaboratively in a team‑oriented environment.
• Strong work ethic and ability to deliver solutions within committed time frames.

• Design, develop, and maintain full‑stack web applications using .NET (C#, ASP.NET Core) for backend and ReactJS for frontend development.
• Integrate and champion AI‑powered development tools (e.g., Claude, Git Hub Copilot, AI code‑review assistants, AI test generators) across the SDLC to boost team velocity and code quality.
• Utilize and enforce AI SDLC best practices – from AI‑assisted requirements analysis and design through AI‑augmented testing, deployment, and monitoring.
• Drive a quality‑first development culture: author comprehensive unit, integration, and end‑to‑end tests; embed automated quality gates in CI/CD pipelines.
• Work on all phases of the development lifecycle, including requirement gathering, analysis, design, coding, testing, and deployment.
• Collaborate with product managers, designers, QA engineers, and fellow developers to deliver high‑quality software solutions on time.
• Architect and build microservice‑based, event‑driven systems with async design patterns for scale and resilience.
• Ensure code quality by writing clean, maintainable, and efficient code. Conduct and participate in code reviews, providing constructive feedback to peers.
• Prepare and maintain technical documentation for code, architecture decisions, and design patterns.
• Mentor junior engineers on AI tool adoption, testing strategies, and full‑stack best practices.
• Stay updated with emerging AI/ML tools,…