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TrueML

Quality Engineer I

TrueML

Join TrueML as a Quality Engineer I to enhance software quality. Collaborate with teams to improve financial software solutions leveraging machine learning.

Posted 7/6/2026full-timeRemote • 🇲🇽 MexicoJunior💰 $25,000 - $40,000 per yearWebsite

Tech Stack

Tools & technologies
JavaJavaScriptPythonSDLCTypeScript

About the role

Key responsibilities & impact
  • 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.
  • 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.
  • 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).

Requirements

What you’ll need
  • 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 (e.g., functional, regression, integration testing).
  • Familiarity with basic testing concepts and terminology (e.g., test cases, test data, defects, severity/priority).
  • Basic proficiency with operating systems and common software applications.
  • Exposure to bug tracking systems (e.g., Jira).
  • Academic or practical exposure to scripting/programming languages (e.g., Python, JavaScript, TypeScript, Java) for basic test scripting or automation.
  • Familiarity with Agile methodologies (e.g., Scrum or Kanban) and working with user stories.
  • Experience with any test management tools (e.g., Xray, TestRail) is a plus.
  • Experience using AI-powered tools in an academic, personal, or professional context (e.g., for code completion, documentation search, or generating test ideas).
  • Strong verbal and written communication skills, with the ability to clearly describe issues and test results.
  • Demonstrated ability to follow instructions, learn new tools and processes, and complete assigned tasks with supervision.
  • Interest in and willingness to use GenAI tools (e.g., GitHub Copilot, Gemini, AI test generators) to assist with scripting, test design, and information discovery.

Benefits

Comp & perks
  • Unlimited PTO
  • Medical benefit contributions in congruence with local laws and type of employment agreement

ATS Keywords

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Hard Skills & Tools
Functional TestingRegression TestingIntegration TestingTest Case DevelopmentBasic ScriptingDefect TrackingTest Data ManagementBasic ProgrammingTest AutomationSoftware Development Lifecycle
Soft Skills
Strong Communication SkillsProactive Problem SolvingTeam CollaborationResponsibility and AccountabilityAdaptability to New Tools