We are looking for a Mid-Level QA Analyst who takes ownership, thinks critically, and proactively drives quality forward. This role is for someone who does not stop at “it’s blocked,” but instead investigates, isolates the root cause, proposes solutions or workarounds, and communicates clearly with the team. The candidate will work across multiple projects, often in complex environments with multiple integrations such as APIs and third-party systems, and will be expected to learn quickly and contribute with initiative.
Proactive Quality Ownership
• Independently analyze requirements, designs, and user flows to identify risk areas and gaps before testing begins.
• Investigate test failures and defects thoroughly, including environment checks, data validation, browser and device reproduction, API verification, and log review.
• Propose practical solutions and workarounds when issues arise, and document findings clearly for developers and stakeholders.
Testing Execution and Strategy
• Create and maintain test scenarios and test cases, including functional, regression, integration, and UAT support, with strong coverage and traceability.
• Execute testing across web applications, mobile applications, content-driven experiences, and integrated systems such as CMS and DXP platforms.
• Validate end-to-end workflows across UI, APIs, and downstream systems to ensure data integrity and correct integration behavior.
Highly Preferred Qualifications
• Experience testing DXP/CMS platforms such as Kentico and Optimizely, or similar.
• Familiarity with CI/CD workflows and basic debugging using logs and monitoring tools.
• Experience with accessibility or compliance testing is a plus.
• Experience testing REST and GraphQL APIs using tools such as Postman or equivalent, including authentication flows, payload validation, error handling, and contract expectations.
Required Skills and Competencies
• Proactive problem-solver who exhausts reasonable options before escalating issues.
• High initiative with the ability to identify and close gaps independently.
• Strong written and verbal communication skills with a professional, solution-focused tone.
• Rapid learner who adapts quickly to new tools, domains, and systems.
• Strong ability to use AI tools effectively to accelerate testing and problem-solving, while validating accuracy.