QA Performance Analyst

Duties and Responsibilities • Write testing strategies, test scripts and conditions to ensure effective performance test coverage • Execute performance, Load, Spike, Stress, Endurance and Stability Testing • Utilize data analytics to determine client usage characteristics and user flows • Identify test data requirements and work with other teams as needed to create and maintain test data • Coordinate and schedule testing programs with project and program teams • Reporting testing outcomes to project stakeholders • Assist in the implementation and maintenance of software testing tools • Identify, recommend, and implement process improvement opportunities for SGWS quality assurance programs • Stay up-to-date on software application testing tools and QA best practices • Recommend opportunities to lower testing costs or improve quality through alternative staffing models (e.g., gig, offshore, 3rd party) • Motivate team members to work collaboratively and effectively • Plan and document succession planning within scope of responsibility

Minimum Qualifications • Bachelor's Degree (computer science, information systems, business administration or other industry related curriculum) or combination of education and equivalent experience • Two to five (2-5) years serving as a QA Performance Engineer • Demonstrated command scripting using JMeter, LoadRunner, NeoLoad and/or LoadComplete • Experience with monitoring tools (Dynatrace, Performance Center, Splunk, AppDynamics, JProfiler, Datadog, NinjaOne) • Experience with data analytics tools (Google Analytics, Adobe Analytics, Open Web Analytics) • Experience with repository/version control tools such as GitHub, GitLab, Bitbucket, TFS, AWS CodeCommit • Experience with project management and issue-tracking software such as JIRA • Experience with team collaboration and knowledge management software such as Confluence • Good time management skills (i.e. works efficiently) • Experience executing testing with large-scale platforms (SAP, JDA, etc.) is a PLUS • Experience working with automated testing tools • Solid working knowledge of metrics and models in product quality engineering • Comprehensive understanding of test methodologies and techniques