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Sr. Quality Assurance Engineer

Job ID 10085561 Location Lake Buena Vista, Florida, United States Business The Walt Disney Company (Corporate) Date posted Apr. 05, 2024

Job Summary:

The Disney Decision Science and Integration (DDSI) team is responsible for supporting clients across The Walt Disney Company (TWDC) including Disney Experiences (Parks, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. DDSI leverages technology, data analytics, optimization, and statistical modeling to build innovative tools that shape business decisions and drive business value. DDSI builds and manages strategic applications that enable internal business decision-makers to view and manage data related to decision science workflows.

The Senior Quality Assurance (QA) Engineer on the DDSI team will be a hands-on QA professional and innovator that enjoys working in a cutting-edge environment. In this role, you will lay the groundwork for DDSI’s quality assurance efforts. You will use your prior quality assurance experience to create DDSI’s product test strategy and develop a process to manage test plans and test cases from design to execution. You will partner with DDSI project teams to direct them through the process. This role requires a detail-oriented mindset, a passion for quality, an ability to self-manage, and a collaborative work ethic.

Your Role:

  • Establish team-wide software quality assurance processes and best practices

  • Create, own, and evangelize the team’s overall product test strategy

  • Lead the quality assurance efforts for a portfolio of web-based analytic applications

  • Assure project quality requirements are met by developing test plans, tracking test coverage, executing tests, automating processes, and communicating results

  • Collaborate with Product Managers on test plans and test cases to align with project scope and requirements

  • Collaborate with Application Engineers to integrate testing with automation and CI/CD processes

  • Collaborate with Data Engineers to create test cases to validate data requirements

  • Collaborate with Data Scientists on methodologies to test expected model outputs

  • Estimate effort for quality-related tasks and schedule tasks within cross-functional project plans

  • Develop metrics and processes to track system health across all lifecycle environments

What We’re Looking For:

  • Proficiency in software quality processes, best practices, and current trends

  • 2+ years of experience leading quality assurance efforts from start-to-finish for web-based application projects

  • Experience tracking test coverage, requirements traceability, quality status, and risks

  • Experience with QA/Test Management tools such as TestRail, Qase, Jira or similar

  • Experience with Test Automation tools such as Selenium, Playwright, Robot Framework or similar

  • Experience with API Testing tools such as SoapUI, Postman or similar

  • Ability to review test results and diagnose issues

  • Ability to lead group discussions with a cross-functional team on quality-related topics or issues

  • Ability to articulate creative solutions to complex testing problems

  • Good instinct for determining when unexpected test outcomes require urgent corrective action

  • Ability to work with other team members to review technical project plans and estimate task effort

  • Ability to communicate, collaborate and compromise with other team members and leaders

How To Stand Out:

  • Experience in AWS cloud-native web applications

  • Experience in React, Python, and/or Django

  • Experience with SQL and Snowflake

  • Experience with decision science/analytics applications

  • Experience with Performance and Load Testing tools

  • Experience with resiliency testing techniques such as chaos engineering

  • Master's degree in a technical field or equivalent

Minimum Requirements:

  • 5+ years of technical software development & testing experience with increasing levels of responsibility in the quality assurance engineering domain

  • Bachelor's degree in Computer Science, MIS, Data Mining, Mathematics or equivalent

8 days ago