Junior SDET (Quality Engineer 1)

Описание

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. TrueML Products is seeking an early-career Quality Engineer I to join their Quality Engineering team and help ensure the delivery of high-quality software products. This is a hands-on role focused on executing tests, finding and documenting issues, and learning best practices in software quality.

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 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)
• 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?”)

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 (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
• 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

Nice to have

• Experience with any test management tools (e.g., Xray, TestRail)
• Experience using AI-powered tools in an academic, personal, or professional context (e.g., for code completion, documentation search, or generating test ideas)

We offer

• Unlimited PTO
• Medical benefit contributions in congruence with local laws and type of employment agreement
• The typical base salary framework for this role currently spans $19,669 to $48,329 annually for non-U.S.-based hires
• Argentina: $26,824 to $43,019 annually
• Mexico: $30,135 to $48,329 annually
• Dominican Republic: $19,669 to $31,544 annually
• Costa Rica: $27,778 to $44,549 annually