Sr. Quality Assurance Engineer- Automation Testing with Azure/AWS

5 - 9 years

8 - 13 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

YOURIMPACT:

WHAT THE ROLE OFFERS:

  • As a Senior Quality Assurance Engineer, you should have good knowledge on QA process.
  • Development and execution of test plans and scripts
  • Collaboration with Development teams, managers, leads and Product management
  • Design/Develop/Maintain the Automation Framework
  • Perl, python scripting, selenium knowledge
  • Setting up infrastructure configurations (Web servers, app servers, DB servers, clusters)
  • Collecting data for generating useful metrics and Utilizing metrics for improving plans, execution and tracking
  • Risks management and collaborating with required stakeholders at leadership level on planning, risk mitigation/escalation
  • Test case/plans management tools
  • Collaborate with Product Owner to plan and prioritize tasks for others to support the achievement of team objectives.
  • Work across teams and functional roles to ensure interoperability among other products, including training and consultation.
  • Provide status updates to stakeholders and escalates issues when necessary.
  • Experience on UI Automation tools and build tools
  • Experience in Cloud platforms like AWS, GCP, Azure and technologies similar to Docker, Kubernetes and Helm
  • Good to have Linux knowledge

What you will need to succeed

  • Strong English communication skills both written and verbal
  • Proficient in Test case scenario / test case designing and preparation
  • Experience in programming language Java
  • Good knowledge on Defect tracking, test life cycle
  • Handle testing of the assigned modules independently.
  • Hands on experience on Selenium & Rest assured framework
  • Strong working experience in testing frameworks like Selenium with Protractor/Cypress
  • Experience with Java, Selenium, Powershell, Git, Jenkins(CI/CD),Perl, Python
  • Experience with developing REST API
  • Setup environments in AWS, GCP, Azure and deployments

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Software Development

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