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HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.
At HP, the future is yours to create!
Automation Quality Assurance Engineer is responsible for ensuring the quality and reliability of web customer care portal products by developing and maintaining both automated and manual test scripts. This role involves executing tests, analyzing outcomes, and ensuring software meets technical specifications and user requirements. The engineer collaborates with developers, product owners, and other stakeholders to bridge requirements and quality standards, while also identifying, documenting, and tracking defects. Additionally, the QA Engineer oversees QA progress, coordinates resources, and continuously improves testing processes to maintain high-quality standards across projects.
Responsibilities:
- Develop, execute, and maintain automated test scripts to support functional and non-functional testing requirements, while contributing to the continuous improvement of testing frameworks and automation processes.
- Perform manual testing when necessary to support new feature releases, bug fixes, and quality improvements, ensuring a thorough understanding of the product.
- Review product requirements, technical specifications, and user stories to develop comprehensive test plans and test cases that ensure thorough coverage and adherence to quality standards.
- Identify, document, and track defects, working closely with the development team to investigate, troubleshoot, and resolve issues effectively.
- Collaborate with cross-functional teams, including developers, product managers, and other stakeholders, to understand project requirements, align on testing strategies, and ensure quality is built into each stage of the development lifecycle.
- Implement performance and load testing strategies to verify application stability, scalability, and adherence to performance standards.
- Provide detailed reports on testing progress, outcomes, and issues, and maintain documentation of testing methodologies, best practices, and automation framework standards.
- Work within Agile Scrum and Test-Driven Development (TDD) frameworks, actively participating in sprints to align testing and development efforts.
Education and Experience Required:
- Bachelor’s or master’s degree in computer science, Information Systems, or equivalent.
- Typically, 5-10 years of experience.
- Proficiency in API test automation using BDD frameworks (e.g., Cucumber), with experience in API testing tools such as Postman, a solid understanding of API definitions, and the ability to create and work with API stubs and mocks.
- Skilled in creating and executing automation scripts in Selenium WebDriver using Java, along with expertise in the technical stack including Cucumber, Git/SVN, Jenkins, and UFT for comprehensive test automation.
- Experience in performance testing and scripting with JMeter to ensure applications meet performance benchmarks.
- Hands-on experience with CI/CD tools and practices (e.g., Jenkins, Git) to support continuous integration and deployment in agile environments.
- Effective collaborator within a Scrum team, performing end-to-end testing activities, taking ownership of product quality, and ensuring successful product outcomes in production.
- Competence in planning, designing, and executing automation test strategies to validate product functionality and performance.
Other Skills:
- Experience in automating deployment pipelines, including the use of tools like Jenkins, Docker, and Kubernetes to ensure streamlined development, testing, and deployment processes.
- Knowledge of IaC tools such as Terraform and Ansible to automate the provisioning and management of infrastructure.
- Familiarity with cloud services (e.g., AWS, Azure) for automating deployment and scaling of applications.
- Experience with monitoring tools like Prometheus, Grafana, and ELK stack to track application performance and automate alerting.
