Junior SDET, Quality Engineer
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Job Description
Early-career Quality Engineer testing TrueML’s machine-learning financial software for distressed borrowers. Executing functional, regression, and integration tests while using AI tools to improve quality workflows.
Responsibilities:
- 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.
- Identify, document, and track defects in a bug tracking system such as Jira, including reproduction steps and impact.
- Contribute to creating and maintaining test data.
- Assist with troubleshooting and investigating issues by reproducing defects, gathering logs, and validating fixes.
- Contribute to basic manual and automated test scripts under guidance.
- Participate in team meetings and provide status updates.
- Communicate testing progress, risks, and issues to technical and non-technical stakeholders.
- Clarify requirements, scope, and expected behavior.
- Deliver assigned tasks on time with close supervision.
- Collaborate to unblock issues and escalate when needed.
- Follow QE standards, processes, and best practices.
- Build understanding of the SDLC and Agile/Scrum practices.
- Use AI-powered code completion tools to assist with simple test automation scripts.
- Use AI tools to generate and refine test case ideas.
- Use AI-enhanced search to find duplicate issues, related tickets, and documentation.
Requirements:
- Degree in Computer Science, Engineering, Information Systems, or a related field.
- 1–2 years of relevant experience in software testing, quality assurance, or a related technical role, including internships, co-ops, or academic projects.
- Basic understanding of software development lifecycles and testing methodologies, including functional, regression, and integration testing.
- Familiarity with testing concepts and terminology, including test cases, test data, defects, severity, and priority.
- Basic proficiency with operating systems and common software applications.
- Exposure to bug tracking systems such as Jira.
- Academic or practical exposure to Python, JavaScript, TypeScript, or Java for basic test scripting or automation.
- Familiarity with Agile methodologies such as Scrum or Kanban and working with user stories.
- Experience using AI-powered tools in an academic, personal, or professional context.
- Strong verbal and written communication skills, with the ability to clearly describe issues and test results.
- Ability to follow instructions, learn new tools and processes, and complete assigned tasks with supervision.
- Interest in and willingness to use GenAI tools such as GitHub Copilot, Gemini, and AI test generators.
- Experience with test management tools such as Xray or TestRail is a plus.
Benefits:
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement
- Opportunities for growth
- Benefits and total rewards discussed with recruiter
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