OPEN: Senior QA Automation Engineer Developer

Job Overview

• The primary purpose of this job is to ensure the quality, reliability, and efficiency of software products through comprehensive test automation strategies and frameworks.
• This rating depicts the organization and reflects the accountabilities as stated at the time of the Last Change Date of the job document. Line Management should review the current organization and consult with their HRBP for rating validity prior to applying new employees to this job.
• The Sr QA Automation Engineer/Developer is responsible for defining, implementing, and optimizing automation strategies to support high-quality software development.
• This role requires deep technical expertise in automation frameworks, performance testing, and integration of testing into the software development lifecycle.
• The engineer collaborates with software architects, development teams, and operations to ensure a scalable and efficient testing strategy.
• Achieve comprehensive test coverage by designing and implementing test automation strategies that include functional, performance, security, load, smoke, accessibility (AODA), and integration testing.
• Develop robust automation frameworks that are scalable, reusable, and support multiple test scenarios and environments.
• Lead and mentor product teams in automation initiatives, establishing best practices and fostering a culture of quality.
• Enhance system performance by identifying and addressing bottlenecks through automated performance tests.
• Ensure system reliability under load by developing and executing stress, load, and scalability tests.
• Integrate automated tests within deployment pipelines to ensure seamless validation of software changes.
• Drive process improvements by analyzing system logs, execution reports, and test results to identify areas for efficiency gains.
• Improve system reliability through in-depth root cause analysis of defects and collaboration with developers.
• Advance automation effectiveness by researching and implementing emerging technologies, frameworks, and techniques.
• Establish and enforce testing standards for automation coverage, test data management, and policies across teams.
• Define and report on quality metrics in collaboration with business stakeholders to ensure alignment with business goals.
• Adaptability and Flexibility: Demonstrate the ability to take on additional responsibilities and tasks as needed, contributing to the overall success and adaptability of the team and organization. This includes effectively responding to unforeseen challenges, supporting various projects, and ensuring continuous alignment with organizational goals

Qualifications

• Requires knowledge in defining, implementing, and optimizing automation strategies to support high-quality software development. Developing scalable, reusable automation frameworks.
• Conducting root cause analysis and improving system reliability.
• This knowledge is considered to be normally acquired through the completion of 4 years of University in computer science, software engineering, or a related field.
• Requires experience in designing, developing, and maintaining automation frameworks for various types of testing.
• Advanced programming skills and expertise in automation techniques.
• Experience integrating automated tests into software deployment and monitoring processes.
• Expertise in cloud-based or distributed system environments and their testing methodologies.
• Proven ability to lead automation initiatives and drive strategic testing improvements across teams.
• Strong analytical skills to assess trends, optimize test coverage, and enhance overall software quality.
• A period of over 6 years and up to and including 8 years is considered necessary to gain this experience.

Candidate must demonstrate the following technical skills:

• Strong programming skills (Java, C#, JavaScript, Python)
• UI and API automation expertise (Playwright, Selenium, REST)
• Framework and TDD/BDD knowledge (TestNG, Cucumber)
• CI/CD and DevOps pipeline integration (GitHub)
• Version control and test management tools (Azure Test Plan, ALM/Quality Center, qTest)

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.