Principal Software Quality Engineer
$150,000–$200,000 year
On-site · Indianapolis, Indiana, United States
Job Summary
The Principal Software Quality Engineer serves as a senior technical authority responsible for advancing quality engineering practices, automation frameworks, and testing strategies. This role involves designing enterprise testing frameworks, establishing testing standards, driving modern automation, and mentoring engineering teams. Key responsibilities include architecting scalable automation frameworks for various testing types, defining quality engineering standards, driving continuous testing practices within CI/CD pipelines, evaluating and standardizing testing tools, and supporting multiple projects with technical initiatives. Candidates must have 12+ years of relevant experience, strong programming proficiency, and effective communication skills.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 12+ years of experience in software quality assurance, test automation, or quality engineering.
- Strong experience designing and implementing scalable automated testing frameworks.
- Proficiency in programming languages such as Java, C#, Python, or similar.
- Experience with modern automation platforms such as Tosca, UFT One, Selenium, Playwright, Katalon, Cypress, or similar tools.
- Experience testing APIs, web applications, enterprise platforms, and distributed systems.
- Experience integrating testing frameworks into CI/CD pipelines and DevOps environments.
- Strong understanding of the software development life cycle (SDLC) and modern testing methodologies.
- Demonstrated ability to diagnose complex technical issues and translate conceptual ideas into practical engineering solutions.
- Experience presenting technical strategies to technical and non-technical stakeholders.
- Strong analytical, communication, and leadership skills with the ability to mentor engineering teams.
Desired Qualifications
- Experience implementing enterprise-level automation strategies across multiple technologies.
- Experience with performance testing tools such as LoadRunner, NeoLoad, or k6.
- Experience with test data management, data validation, and data engineering for testing.
- Experience leading testing initiatives in enterprise or consulting environments.
- Experience working within Agile or DevOps development environments.
- Familiarity with applying AI and machine learning technologies to software testing and engineering workflows.
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