Sr Quality Engineer II

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

The Opportunity

TrueML Products is seeking a highly experienced and motivated Sr Quality Engineer II to join our dynamic team and serve as a technical lead in our Quality Engineering team. This role is critical in driving our overall quality strategy, establishing best practices, and ensuring the delivery of high-quality software products. This position will report to the Manager, Quality Engineering and be deeply involved in defining the test automation architecture. The ideal candidate is hands-on, with a process improvement mindset. We are looking for someone who is eager to solve complex testing challenges and leverages GenAI tooling as a second-nature.

Work-Life Benefits

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

What You’ll Do

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Technical Leadership

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Define and champion QE best practices, standards, and processes within the team and across engineering.

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Evaluate and recommend new testing tools, technologies, and methodologies to enhance quality and efficiency, with a specific focus on promising agentic AI-powered solutions.

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Drive the quality strategy and execution for significant product areas or projects.

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Design, develop, and implement a scalable and maintainable test automation framework.

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Drive improvements in QE processes, methodologies, and tools.

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Participate in architectural discussions, providing input on testability and quality considerations.

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Collaborate with development and product teams to integrate quality practices throughout the SDLC (Shift-Left).

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Lead code reviews and provide constructive feedback on test automation code.

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Provide technical guidance and support to QE team members, fostering their growth and development.

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Hands-on Quality Engineering

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Design, develop, execute, and maintain automated test scripts for functional, regression, performance, and security testing.

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Analyze application and system architectures to identify potential quality issues and design effective test strategies.

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Perform exploratory, integration, and end-to-end testing

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Identify, isolate, report, and track defects, working closely with developers to ensure resolution.

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Analyze test results, generate test reports, and provide quality metrics to stakeholders.

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Contribute to CI/CD pipeline integration for automated testing.

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Stay current with industry trends and advancements in software testing and quality assurance, particularly in the rapidly evolving field of generative AI for QE.

Required Qualifications

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Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

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7+ years of experience in software quality engineering, with a strong emphasis on test automation.

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Experience in building, and maintaining robust test automation frameworks (e.g., using Playwright, Selenium, Cypress, Appium, REST Assured, Pytest, JUnit/TestNG). Playwright is preferred.

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Strong programming/scripting skills in one or more languages (e.g., Python, Java, JavaScript, C#).

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Strong understanding of software QA methodologies, tools, and processes.

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Experience with API testing and automation tools (e.g., Postman, SoapUI).

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Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions).

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Experience with version control systems (e.g., Git).

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Experience leveraging GenAI tooling to generate tests and enhance test coverage

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Excellent problem-solving, analytical, and debugging skills.

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Strong communication and interpersonal skills

Preferred Qualifications

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Master's degree in a related field.

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Experience with performance and load testing tools (e.g., JMeter, k6, LoadRunner).

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Experience with security testing concepts and tools.

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Experience testing cloud-based applications (AWS, Azure, GCP).

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Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

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Experience with databases and SQL.