Negotiable
Outside
Remote
USA
Summary: The Lead QA Defect Coordinator is responsible for managing and reconciling defect data across Client and Health Edge, addressing challenges posed by varying defect processes. The role requires expertise in QA automation tools and a strong understanding of software architecture principles. Additionally, familiarity with CI/CD pipelines and cloud platforms is essential for success in this position. This role is fully remote and requires a minimum of 10 years of experience.
Key Responsibilities:
- Reconcile and coordinate defect data management across Client and Health Edge.
- Resolve challenges related to variable defect processes based on defect type and origin.
- Utilize QA automation test tools effectively.
- Implement and manage CI/CD pipelines and automated testing frameworks.
- Work with cloud platforms and programming languages as needed.
Key Skills:
- Proven expertise in QA Automation Test tools (e.g., Selenium, JUnit, TestNG).
- Strong understanding of software architecture principles and design patterns.
- Experience with CI/CD pipelines and automated testing frameworks.
- Familiarity with cloud platforms (e.g., AWS, Azure).
- Knowledge of programming languages such as Java, Python, or C#.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Role: Lead QA Defect Coordinator
Experience: 10 Years
Position: remote
Skills:
QA Defect Coordinator will be responsible for reconciling and coordinating defect data management across Client and Health Edge. Resolve significant challenges in this space due to variable defect processes depending on the type of defect (i.e. product vs. configuration), where the defect originates (Client systems vs HealthEdge systems) or which HealthEdge system the defect comes from (i.e. Source defects have a different process than HRP defects).
Proven expertise in QA Automation Test tools (e.g., Selenium, JUnit, TestNG).
Strong understanding of software architecture principles and design patterns.
Experience with CI/CD pipelines and automated testing frameworks.
Familiarity with cloud platforms (e.g., AWS, Azure).
Knowledge of programming languages such as Java, Python, or C#.