C# SDET QA -

Job Title: C# SDET QA

Location: Mumbai

Experience Level: 7+ Years

Key Responsibilities:

The QA Engineer is responsible for designing and implementing robust automation frameworks and enhancing existing test automation solutions to support evolving business and technology needs. Executes QA activities across multiple projects, ensuring high-quality software delivery through well-structured, maintainable and efficient test automation practices. Drives quality standards, promotes best practices, and collaborates closely with development and product teams to deliver reliable and scalable solutions.

Required Experience:

- 5+ years experience as a QA Engineer specialising in Test Automation using C# programming language, delivering high-quality, scalable and maintainable automated testing solutions.
- Strong experience working in Agile environments (Scrum/Kanban) using tools such as Azure DevOps and Jira, actively contributing to sprint ceremonies and continuous improvement practices.
- Proven ability to design and build automation frameworks from scratch, covering API automation (RestSharp) and UI automation (Selenium / Playwright) using BDD practices with Reqnroll.
- Experience implementing and maintaining CI/CD pipelines to enable automated test execution as part of continuous integration and delivery processes.
- Hands-on experience in Non-Functional Testing, ensuring system reliability, performance and stability.
- Strong experience in API testing, including building Postman collections and validating responses using JavaScript.




- Experience using application monitoring and observability tools such as Application Insights, Kibana or similar platforms to analyse system behaviour and support issue investigation.
- Skilled in developing End-to-End, Integration and Contract tests to ensure comprehensive test coverage across complex systems.
- Proficient in SQL, writing complex queries and performing data validation and data integration testing.
- Experience generating automated test reports and dashboards using tools such as Extent Reports and SpecFlow Living Documentation to provide clear quality insights to stakeholders.
- Demonstrated experience mentoring QA engineers, promoting automation best practices, and conducting code reviews to maintain high engineering standards.
- Strong collaboration with Business Analysts and Developers to refine requirements, define acceptance criteria, and actively participate in Three Amigos sessions to ensure shared understanding and quality from the early stages of development.
- A proactive, accountable and professional team player, committed to fostering a positive and collaborative team environment. Works effectively across cross-functional teams, takes ownership of deliverables, and contributes to collective team success rather than operating in isolation.

Essential skills:





- Strong working knowledge of Terraform for infrastructure provisioning and management within up-to-date cloud environments.
- Experience testing and supporting applications built on Microsoft Azure, including Azure Functions and Azure Web Applications.
- Solid understanding of event-driven and messaging architectures, with experience working with Azure Service Bus and Azure Event Hub.
- Experience working with Microsoft Dynamics 365, including familiarity with solution lifecycle management, deployments, and environment management.
- Proficiency in working with applications developed using .NET (including .NET 10) within modern enterprise architectures.

Desired Experience: The ideal candidate will have financial services experience in the private equity, infrastructure & real assets or private debt space. However, this is not a stringent requirement.

Desired skills:

- Exposure to Databricks platform, including working with data pipelines, analytics workflows, or testing data-driven applications within cloud-based data environments.
- Experience or familiarity with AI/ML-enabled systems, including developing or testing AI agents, and validating AI-driven features and workflows.
- Knowledge of observability and monitoring practices for AI systems, using tools or frameworks that support AI model behaviour monitoring, performance validation, and reliability testing.
- Experience working with private markets or financial services platforms, such as eFront or similar private equity / investment management systems.

📌 C# SDET QA (Mumbai)
🏢 Atyeti
📍 Mumbai