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QA Automation Engineering Lead
| Company | Citigroup |
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| Location | Irving, TX, USA |
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| Salary | $114720 – $172080 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Expert or higher |
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Requirements
- 10+ years of QA automation engineering experience in developing enterprise scale applications.
- Expertise in QA automation frameworks for functional, regression and performance tests like Selenium, Cucumber, Soap UI, JMeter, Load Runner etc.
- Expertise in QA automation of data flows, data analysis, and SQL.
- Expertise in testing for non-functional requirements.
- Expertise in testing enterprise integrations through RESTful APIs, Kafka messaging etc.
- Understanding of application architectures, data models, search engines, caching solutions, file management, on-prem, private/public cloud infrastructures etc.
- Familiarity with Authentication, Authorization, and Security.
- Expertise in troubleshooting and problem solving.
- Familiarity with AWS cloud, prepare to migrate applications, services, and data to AWS.
Responsibilities
- Implement and lead the QA automation frameworks for integration, functional, regressions and performance tests.
- Mentor and coach the automation engineers to implement adequate tests suitable for web applications, APIs, and Data.
- Review the test designs, test plans, and test cases to ensure the coverage.
- Develop QA metrics to measure the QA automation effectiveness.
- Work in an agile environment following through the best practices of agile Scrum.
- Analyze the requirements, seek clarifications, contribute to good acceptance criteria, estimate, and be committed.
- Create test plans that are smart and adequate to ensure the product quality and stability.
- Write the test cases and automate the test executions to ensure acceptance criteria is met.
- Develop automated regression test suites for continued assurance of product quality.
- Perform UAT tests that mimic the end-to-end user scenarios.
- Validate production by running the sanity tests, and data validations.
- Lookout for providing best possible customer support by troubleshooting, resolving production incidents and by eliminating the problems from the root level.
- Bring innovative solutions to reduce the operational risks by automating mundane repetitive tasks across SDLC.
- Familiarize with AWS cloud, prepare to migrate applications, services, and data to AWS.
Preferred Qualifications
- Familiarity with AWS cloud, prepare to migrate applications, services, and data to AWS.
