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Ness Digital Engineering

Sr Quality Engineer (Test Automation)

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Description

Ideal profile for Sr. Quality Engineer/ SDET - Backend

Hands-on QE/SDET who combines software-development skills with strong quality-engineering practices and can contribute automation code alongside developers throughout the software development lifecycle.
The QE/SDET understands that a quality delivery is important and uses automation and AI-assisted tools to achieve the business objective of the product. It is not simply an automation project.


Quality Engineer –Must Skills: .NET, C#, APIs, Playwright with Typescript/C#/Python ,Microservices & Azure

Key Responsibilities
Deliver the product server side cpaabilities as per the requirements meeting the functional and non-functional criteria.
Design and develop scalable test automation using Playwright/Typescript or Playwright/C#
Automate testing of REST APIs, microservices, and service-to-service integrations.
Validate JSON/XML, data flows, contracts, and asynchronous/event-driven workflows.
Validate Azure-based applications using Blob Storage, Application Insights, logs, etc.
Build automated functional, integration, contract, end-to-end, reliability, and API security coverage.
Integrate automated tests and quality gates into CI/CD pipelines and Docker-based deployments.
Collaborate with developers to shift quality left across unit, component, API, contract, integration, and system testing.
Use Claude Code or equivalent AI-assisted development tools to accelerate test design, automation, debugging, and refactoring.
Required Skills
Strong proficiency in Playwright/Typescript or Playwright/C#, modern .NET.
Strong experience with REST API and microservices testing/automation.
Experience with Postman/Newman, HttpClient, RestSharp, or equivalent.
Strong understanding of JSON, XML, OOP, design principles, and architectural patterns.
Experience testing event-driven and asynchronous systems.
Hands-on experience with Microsoft Azure, Azure Service Bus, Blob Storage, and Application Insights.
Experience with Azure CI/CD, Docker, Git, and JIRA.
Experience with Claude Code or similar AI coding assistants is desirable.

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