Lead the Quality Engineering team, develop test automation frameworks, evaluate tools, and ensure high-quality software delivery while mentoring team members.
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 Staff Quality Engineer I to join our dynamic team and serve as the technical lead for our Quality Engineering function. 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 Sr. Director of Program & Operations and be deeply involved in defining the test automation architecture and leading the QE team. The ideal candidate is a hands-on leader with a process improvement mindset. We are looking for someone 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: Technical Leadership
- Act as the primary technical point of contact and mentor for the Quality Engineering team.
- Lead the design, development, and implementation of scalable and maintainable test automation frameworks and strategies across various platforms (Web, API, Data Pipelines, etc.).Define and champion QE best practices, standards, and processes within the team and across engineering.
- Evaluate and recommend new testing tools, technologies, and methodologies to enhance quality and efficiency, with a specific focus on promising agentic AI-powered solutions.
- Collaborate with development and product teams to integrate quality practices throughout the SDLC (Shift-Left).
- Provide technical guidance and support to QE team members, fostering their growth and development.
- Lead code reviews and provide constructive feedback on test automation code.
What You'll Do: Hands-On Quality Engineering
- Design, develop, execute, and maintain automated test scripts for functional, regression, performance, and security testing.
- Analyze complex application and system architectures to identify potential quality issues and design effective test strategies.
- Perform exploratory, integration, and end-to-end testing for complex features.
- Identify, isolate, report, and track defects, working closely with developers to ensure resolution.
- Analyze test results, generate test reports, and provide quality metrics to stakeholders.
- Contribute to CI/CD pipeline integration for automated testing.
- 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
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- [5-8]+ years of experience in software quality engineering, with a strong emphasis on test automation.
- Proven experience in designing, building, and maintaining robust test automation frameworks (e.g., using Selenium, Cypress, Playwright, Appium, REST Assured, Pytest, JUnit/TestNG).
- Strong programming/scripting skills in one or more languages (e.g., Python, Java, JavaScript, C#).Deep understanding of software QA methodologies, tools, and processes.
- Experience with API testing and automation tools (e.g., Postman, SoapUI).Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions).
- Experience with version control systems (e.g., Git).Experience leveraging GenAI tooling to generate tests and enhance test coverage.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and interpersonal skills, with the ability to mentor and lead.
Preferred Qualifications
- Master's degree in a related field.
- Experience leading or mentoring a team of QE engineers.
- Experience with performance and load testing tools (e.g., JMeter, k6, LoadRunner).Experience with security testing concepts and tools.
- Experience testing cloud-based applications (AWS, Azure, GCP).Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).Experience with databases and SQL.
- Experience working in [mention specific industry, e.g., FinTech, SaaS, E-commerce] environment.
We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
Appium
Azure Devops
C#
Cypress
Docker
Git
Github Actions
Gitlab Ci
Java
JavaScript
Jenkins
Junit
Kubernetes
Playwright
Postman
Pytest
Python
Rest Assured
Selenium
Soapui
Testng
Similar Jobs at TrueML
Fintech • Machine Learning • Social Impact • Software • Financial Services
The Senior Data Engineer II will design and manage a data LakeHouse platform, build data pipelines, and collaborate on data solutions.
Top Skills:
AirflowApache IcebergAWSDbtFlinkKubernetesPythonSnowflakeSpark StreamingSQLTerraform
Fintech • Machine Learning • Social Impact • Software • Financial Services
As an Engineer II, you will develop payment platform infrastructure, write clean code, and collaborate across teams to enhance user experiences.
Top Skills:
GoNextjsPythonReactTypescript
Fintech • Machine Learning • Social Impact • Software • Financial Services
The role involves managing AWS infrastructure, developing Infrastructure as Code, optimizing CI/CD pipelines, and collaborating across teams to enhance software development processes.
Top Skills:
ArgocdAWSAws CodepipelineGithub ActionsGoHelmJenkinsKubernetesPythonTerraformTypescript
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
