DICK'S Sporting Goods
YOU LIVE AND BREATHE SPORTS. SO DO WE.
Lead Software Development Engineer – Testing
Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 10,001+Since 1948H1B No SponsorCompany SiteLinkedIn
Location
United States
Posted
1 day ago
Salary
$95.2K - $158.8K / year
Seniority
Senior
Bachelor Degree6 yrs expEnglishAWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptJenkinsJUnitKubernetesPythonSeleniumSQL
Job Description
• Develop and implement a robust end-to-end testing strategy that aligns with project objectives, requirements, and timelines
• Create detailed test plans, test cases, and test scripts to validate system functionality, performance, and scalability
• Execute tests, document results, and track defects
• Collaborate with automation teams to identify and automate key test scenarios
• Lead a team of testers, providing guidance, support, and mentorship
• Coordinate with infrastructure teams to set up and maintain test environments that accurately replicate production conditions
• Track and manage defects throughout the testing lifecycle
• Define and track key testing metrics to measure the effectiveness and progress of testing activities
• Identify opportunities for process improvements, efficiency gains, and enhanced quality assurance practices
• Work closely with product teams to ensure that user stories are well-defined and testable
• Provide technical leadership and mentorship to the testing and engineering teams.
Job Requirements
- Bachelor's Degree or Equivalent
- Substantial general work experience together with comprehensive job-related experience in own area of expertise to fully competent level (Over 6 years to 10 years)
- Expertise in test automation frameworks such as Selenium, JUnit, TestNG, Cucumber, and similar tools
- Proficient in Java, JavaScript, Python, or C# for automation, tooling, and test development
- Strong experience integrating automated tests into CI/CD pipelines using Jenkins, GitLab CI/CD, Bamboo, or equivalent
- Solid knowledge of data testing, including SQL queries, data validation, and integrity checks
- Experience testing applications on cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes)
- Extensive hands-on experience in end-to-end, integration, regression, and system testing
- Proven QA leadership experience, including managing, mentoring, and scaling testing teams
- Practical use of AI-powered testing tools for test generation, optimization, defect prediction, and analytics
- Strong understanding of AI/ML model testing, including data quality, accuracy, bias, robustness, and drift validation.
Benefits
- Health insurance
- Competitive total rewards package including incentives and equity
- Generous suite of benefits
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