Position: R&D (Senior Software Engineer) Location: Bangalore, India Employment type: Full-time regular with flexible working options Experience: 9+ Years
About us: Codvo.ai is a next-gen AI and engineering company helping global enterprises transform through Generative AI, Cloud-native platforms, and Product Engineering. With proprietary platforms like NeIO and Pulse, we’re enabling faster, smarter, and scalable digital transformation for industries including Energy, Retail, Travel, BFSI, and Healthcare. As we gear up to launch new AI-powered products and expand global presence, we are seeking a marketing leader to define how Codvo.ai influences the market, shapes perception, and creates a movement.
The Role We are seeking a highly skilled Software Engineer for Core Services team. This position is responsible for developing & ensuring product quality.
Key Responsibilities • Write clean, scalable C# code • Develop and execute unit, integration, API, and end-to-end tests • Ensure testability and quality are embedded into the development lifecycle • Build and maintain automation pipelines within CI/CD workflows • Perform API and microservices testing in distributed cloud environments • Identify root causes of defects and drive fixes, not just detection • Contribute to improving overall quality engineering practices and standards
🛠 Required Skills & Qualifications • Strong programming experience in C# and .NET / .NET Core • Solid understanding of OOP, design patterns. • Experience building test automation frameworks from scratch • Hands-on experience with tools such as: o UI: Selenium, Playwright (C#), or Cypress (with API support) o API: RestSharp, Postman, or similar tools • Experience with unit testing frameworks (xUnit, NUnit, MSTest) • Strong understanding of REST APIs, microservices architecture, and distributed systems • Experience integrating tests into CI/CD pipelines (Azure DevOps) • Proficiency with Git and code review practices
☁️ Cloud & DevOps Experience • Hands-on experience with Microsoft Azure and/or Amazon Web Services (AWS) • Experience testing applications deployed on cloud platforms • Understanding of containerization (Docker) and orchestration (Kubernetes ) • Experience with monitoring, logging, and debugging in cloud environments