Senior Test Engineer – Selenium

YASH Technologies

Software Engineer – Automation Testing focusing on AI technologies for YASH Technologies. Responsibilities include planning automation test strategies and collaborating with engineering teams to enhance product quality.

Posted 6/27/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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The ideal candidate must demonstrate strong technical expertise in AI-driven testing methodologies and the ability to effectively collaborate with cross-functional teams to deliver high-quality software products. Consistent execution of automated testing strategies and performance optimization in a cloud-based environment is essential.

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Applicant Tracking System Keywords

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Hard Skills

C#PythonJavaSeleniumAppiumAI-Based Testing ToolsContinuous IntegrationContinuous DeliveryLoad TestingPerformance Testing

Soft Skills

CollaborationPrioritizationExecutionAdaptabilityProblem-Solving

Tools & Technologies

Azure DevOpsTestNGJUnitAntMavenJenkinsMicrosoft Web Load TestJMeterAzure Application InsightsVisual Studio App Center

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Agile MethodologyAI-Driven Test AnalysisAutomation Testing FrameworkCloud-Based SolutionsPaaSMachine Learning Model TestingAI Model ValidationPredictive MonitoringHigh-Pressure EnvironmentSOP Compliance

Tech Stack

Tools & technologies

AzureCloudJavaJavaScriptJenkinsJMeterJUnitMaven.NETNode.jsPythonSelenium

About the role

Key responsibilities & impact

Plan and manage end-to-end testing within an Agile methodology using Azure DevOps, integrating AI-driven test analysis and reporting.
Grasp overall product vision, road maps, business needs, and solution architecture across products, ensuring alignment with AI-based testing strategies
Set up and maintain Continuous Integration (CI) and Continuous Delivery (CD) for automated test tools, with a focus on AI-based automation frameworks.
Develop, prioritize, and execute comprehensive test cases for functional and performance testing using AI tools and methodologies.
Define and execute both manual and automated tests throughout the product development lifecycle, focusing on AI and machine learning model testing.
Oversee the Automation Testing Framework across Web, Mobility, and API platforms, incorporating AI components and technologies like GPT.
Collaborate with product owners and engineering teams to ensure delivery of stable, high-quality software products through AI-enhanced testing processes.
Leverage AI-based testing tools to automate web and native application tests, ensuring robust AI model validation and performance optimization.
Plan, deploy, and monitor cloud-based solutions in a DevOps model, utilizing AI for predictive monitoring and automatic issue identification.
Engage in prototypes and proof-of-concept initiatives, collaborating with senior roles and architects to explore AI innovations in testing solutions.
Other duties as assigned.

Requirements

What you’ll need

Experience required: 3-5 years
Bachelor's Degree in Computer Science, Engineering, or equivalent preferred required
Good understanding of C#/Python/Java programming languages and Azure cloud technologies.
Good experience in Selenium/Appium, AI-based testing tools, and BDD frameworks.
Good to have knowledge in using Azure DevOps/VSTS for build, automation, and testing strategies.
Familiarity with TestNG/Junit, Ant/Maven, and Jenkins for build and release pipelines is preferred.
Ability to perform load and performance testing using tools like Microsoft Web Load Test, JMeter and integrate test execution with CI/CD pipelines.
Prior experience in mobile app testing automation with tools like Appium, and Visual Studio App Center.
Ability to manage cloud-based solutions with Azure PaaS using technologies such as .NET Core and Node.js.
Ability to perform log analysis from Azure Application Insights and utilize telemetry for insights into application performance.
Good understanding of AI-based testing strategies for validating AI models like GPT.
Good to have knowledge on AI based testing tools for manual and automated testing for web and native applications.
Comply with all relevant SOPs as per Company policy as they are related to the position covered by this Job Description
Comply with the company’s safety and quality policies
Ability to work in a global and virtual environment and to effectively prioritize and execute tasks in a high-pressure environment.

Benefits

Comp & perks

Flexible work arrangements
Emotional positivity
Agile self-determination
Trust and transparency
Open collaboration
Stable employment with a great atmosphere
Ethical corporate culture