Software Development Engineer in Test
3 days ago
Job Overview:
The
Application Testing Team
is seeking a highly skilled
Software Development Engineer in Test (SDET)
to architect, develop, and maintain a
scalable and intelligent test automation framework
. This role requires hands-on expertise in traditional test automation tools like
Selenium
, along with modern
AI-powered testing platforms
such as
TestRigor
and
Testim
. You will play a key role in accelerating release cycles, improving software quality, and reducing manual testing efforts through innovation and automation.
Key Responsibilities:
- Design and build scalable, maintainable, and reusable automation frameworks
for UI, API, and integration testing. - Develop and maintain automated test suites using
Selenium WebDriver
and integrate them with CI/CD pipelines. - Evaluate and implement
AI-powered test automation tools
such as
TestRigor
,
Testim
, or
Mabl
to improve coverage, test creation speed, and test maintenance. - Collaborate with developers, QA engineers, product owners, and DevOps to align test coverage with business goals.
- Drive adoption of AI-based test case generation, self-healing scripts, and intelligent test prioritization.
- Ensure framework extensibility for web, mobile, and API layers.
- Review code for test scripts, enforce coding standards, and ensure high test reliability and maintainability.
- Provide documentation, training, and support to team members on using and extending the automation framework.
- Continuously monitor test execution, analyze flakiness, and optimize for performance and accuracy.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5-7 years of experience in test automation development.
- Strong experience with
Selenium
and core automation principles. - Programming proficiency in
Java, Python, or .NET
. - Experience with at least one
AI-powered test automation platform
, such as: - Hands-on experience with
REST API testing
using
Postman, RestAssured
, or similar tools. - Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
- Good understanding of test lifecycle management, version control (Git), and Agile processes.
Preferred Qualifications:
- Experience integrating AI tools in enterprise test automation frameworks.
- Knowledge of self-healing automation, intelligent locator strategies, or test impact analysis.
- Exposure to performance testing tools (e.g., JMeter, Gatling).
- Working knowledge of Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP).
- Familiarity with BDD tools like Cucumber.
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