Quality Engineer I (Early-Career) at TrueML Products

What You’ll Do:

Quality Engineering & Test Execution

• Execute test plans and test cases as directed by senior QE team members.

• Perform basic functional, regression, and integration testing across Web, API, and/or Data components as applicable.

• Identify, document, and track defects accurately in our bug tracking system (e.g., Jira), including clear reproduction steps and impact.

• Contribute to the creation and maintenance of test data needed for test execution.

• Assist in troubleshooting and investigating issues by reproducing defects, gathering logs, and validating fixes.

• Contribute to basic test scripts (manual and automated) under guidance, following established patterns and standards.

Collaboration, Communication & Ownership

• Participate in team meetings, providing clear status updates on assigned tasks.

• Communicate testing progress, risks, and issues to your team in a clear and concise way, including to non-technical stakeholders when needed.

• Ask questions and seek clarification proactively to fully understand requirements, scope, and expected behavior.

• Follow through on commitments, take responsibility for your work, and deliver assigned tasks on time with close supervision.

• Collaborate with your team to unblock issues within the scope of your work, escalating when needed.

Quality Practices, Processes & AI Tools

• Learn and adhere to established QE standards, processes, and best practices (including test case structure, defect reporting, and regression workflows).

• Build a basic understanding of the software development lifecycle (SDLC) and how quality is embedded throughout.

• Begin working within Agile/Scrum practices (e.g., participating in sprint ceremonies, using user stories, understanding acceptance criteria).

• Assisted Scripting: Use AI-powered code completion tools (e.g., GitHub Copilot) to help write simple test automation scripts or snippets under supervision.

• AI-Suggested Test Cases: Leverage AI tools to generate basic test case ideas and scenarios from requirements or user stories, then refine them with guidance.

• Intelligent Search: Use AI-enhanced search within bug tracking and documentation systems to quickly find duplicate issues, related tickets, or supporting documentation.

• Build awareness of how to find information and who to ask across the company (e.g., “Who can answer X?” or “Where is Y documented?”).