QA Specialist

• Module Testing & Ownership: Take ownership of testing assigned program modules to ensure they meet strict procedural standards.
• Documentation & Knowledge Transfer: Create and maintain comprehensive documentation for assigned modules to serve as the "source of truth" and guide for other teams using Confluence.
• Cross-Product Synchronization: Ensure the latest releases of integrated products are tested, documented, and verified in conjunction with core modules to prevent service disruptions.
• Legacy Product Support: Provide specialized testing and analysis for legacy products, ensuring they remain stable and performant alongside modern releases.
• Interdepartmental Interaction: Proactively interact with developers, business analysts, and support teams to drive defect resolution in Jira.
• Advanced Manual Testing: Execute thorough black box, exploratory/heuristic, and end-to-end testing methods to ensure complete product coverage.
• Release Governance: Test software releases and all associated documentation for accuracy and completion prior to distribution.

• Education: Degree in Computer Science, MIS, Business, or equivalent work experience.
• QA Experience: Prior software manual QA experience preferred with a proven track record of mastering complex modules and working with multiple teams of different types (e.g., Development, Product, Support, and Business stakeholders).
• Adaptability & Drive: Proven ability to "float" between different projects as the owner with a high level of self-drive and a positive, team-oriented attitude.
• Interpersonal Prowess: Strong communication skills for interacting with multiple teams and managing diverse professional personalities.
• Technical Skills:
  • Jira and Confluence: Proficiency in managing defects and maintaining documentation within these platforms.
  • Knowledge of relational databases, SQL, and query writing for data validation.
  • Knowledge of API Validation: Understanding of how to use tools like Postman or Swagger to manually verify backend data flows and integrations.
  • Web Troubleshooting: Use of Browser Developer Tools (Console, Network tab) to diagnose UI issues and integration errors.
  • System & Log Observation: Ability to review application logs to provide detailed technical context in bug reports.
  • General knowledge of AI use in testing (Claude, Gemini, ChatGPT).
  • Proficiency with Microsoft Office.
• Methodology: Solid understanding of QA testing methodologies and the full software development lifecycle (SDLC).
• Soft Skills:
  • Strong analytical, problem-solving, and sound decision-making skills.
  • Exceptional attention to detail and strong organizational skills for managing multiple work streams.

• Extensive Experience with AI for testing, documentation, and daily use.
• Experience interacting with multiple teams in roles outside of QA (e.g., Product Management, Customer Success, or Business Analysis).

• Maintain a positive, team-oriented attitude with the flexibility to manage independent tasks and workstreams as needed.
• Ability to maintain testing environments including products, tools, and test data.
• Stay current with trends in software development and quality assurance.
• Travel occasionally as needed.

Remote | Lubbock, Texas

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