Senior Test Engineer – Selenium

Jobtailor; Bengaluru; On-site; INR 1,100,000 - 1,700,000; Full time

Job summary

Jobtailor in Bengaluru, India is seeking an experienced QA Automation Engineer to lead AI-driven testing across Web, Mobile, and API platforms. You will plan end-to-end testing within Agile teams, leverage Azure DevOps and CI/CD pipelines, and implement AI-based testing strategies to improve quality and release velocity.

The role requires 3-5 years of experience in automation, proficiency in C#/Python/Java, and familiarity with Selenium/Appium, JUnit/TestNG, and Azure cloud technologies.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent
• Strong foundation in AI-based testing strategies
• Experience with Azure cloud technologies

Responsibilities

• Plan and manage end-to-end testing in Agile using Azure DevOps with AI-driven analysis.
• Align product vision with AI-based testing strategies across platforms.
• Set up CI/CD for automated tests with AI frameworks.
• Develop and execute AI-enabled test cases for functional and performance testing.
• Lead automation framework across Web, Mobile, and API with AI components.
• Collaborate with product owners and engineering to deliver high-quality software.

Skills

AI-based testing

Azure DevOps

Selenium

Appium

C#/Python/Java

BDD frameworks

Load testing

Cloud (Azure)

Log analysis

Education

Bachelor's Degree in CS/Engineering

Tools

Selenium

Appium

JUnit

TestNG

Maven/Ant

Jenkins

Azure DevOps

JMeter

Visual Studio App Center

Microsoft Web Load Test

Job description

Responsibilities

• 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

• 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.