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The Automation QA Engineer will develop testing frameworks, optimize CI/CD processes, create automation test scripts, analyze defects, and enhance testing strategies.
Top Skills:
AppiumDockerGitlab CiGoJavaJenkinsJmeterK8SMongoDBMySQLPostgresPostmanPytestPythonRestassuredRobot FrameworkSeleniumTestng
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The Senior Automation QA Engineer will design, develop, and maintain automated test scripts and CI/CD pipelines, while managing test environments.
Top Skills:
C#Ci/CdJenkinsSelenium
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The Staff Engineer, QA Automation will lead initiatives in manual and automation testing, mentor teams, and help clients improve their testing strategies using various programming and automation tools.
Top Skills:
AppiumC#Coded UiCucumberJavaJavaScriptKatalon StudioProtractorPythonRest AssuredSeleniumSpecflowTestcompleteUftVbscriptZephyr
Job Responsibilities
1. Develop and maintain automation testing frameworks and tools to improve testing efficiency and quality.
2. Design, develop, and optimize automation test scripts covering scenarios such as functional testing, API testing, and performance testing.
3. Participate in the construction of the testing platform, optimize CI/CD processes, and enhance the role of automation testing in the development process.
4. Develop reasonable testing strategies in line with business requirements, write test cases, and conduct test execution and defect management.
5. Analyze test data, locate and track software defects, and drive the rapid resolution of issues.
6. Participate in product architecture design reviews and provide optimization suggestions from a testing perspective to improve system testability and stability.
7. Keep up with the latest industry technology trends and explore and implement new testing tools and methods.
Job Requirements
1. Bachelor's degree or above in Computer Science, Software Engineering, or related fields, with at least 3 years of experience in test development.
2. Proficient in at least one programming language (such as Python/Java/Go), with good programming skills.
3. Familiar with common automation testing frameworks, such as Selenium, Appium, Robot Framework, TestNG, pytest, and capable of secondary development according to needs.
4. Familiar with API testing (Postman/RestAssured/JMeter, etc.), with certain database testing capabilities (such as MySQL, PostgreSQL, MongoDB, etc.).
5. Experienced in performance testing, stress testing, and stability testing, familiar with tools such as JMeter, Locust, Gatling.
6. Familiar with DevOps processes and understand CI/CD (Jenkins/GitLab CI/K8s, etc.) automation testing integration.
7. Possess good analytical and problem - locating abilities, able to respond quickly and drive problem resolution.
8. Have excellent communication skills and a strong sense of teamwork, with a strong sense of responsibility and self - motivation.
Preferred Qualifications
1. Experience in testing large - scale Internet and high - concurrency systems.
2. Experience in security testing, containerized testing (Docker/K8s), or AI - based automation testing.
3. Participation or leadership in the development of testing tools/testing platforms.
4. Experience as a contributor to open - source projects or sharing technical blogs.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
