QA Engineer

Position Overview:

We are looking for talented Quality Assurance Engineers that can help us test this critical program. You would be working closely with the Product team to plan new features, partner with developers to test these features, and collaborate across multiple teams to deploy and monitor releases.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities:

• Test Planning & Design: Analyze requirements and create test plans/cases
• Test Case Creation: Develop detailed, step-by-step test cases
• Test Execution: Manually execute test cases on various platforms. (Including mobile apps) with extensive knowledge in integration testing across systems
• Defect Identification & Reporting: Find and document software defects
• Defect Tracking & Verification: Track defect status and verify fixes
• Regression Testing: Retest to ensure new changes dont break existing features
• Test Reporting: Create reports summarizing the testing process and results
• Test Automation: Ability to create automation test suites for API’s
• Production deployment validation
• Collaboration: Work with the team to understand requirements and ensure quality
• Automation and Load Testing: Basic knowledge of automation and load testing using any framework
  
  
  

• 3+ years of experience testing software code both front-end and back-end and writing automated tests for the same
• Familiarity with the following language: JavaScript, SQL
• Experience with API, Automation and Load testing tools: Postman ( REST/Graphql), Saucelabs, Jmeter, any automation framework etc
• Experience working with code repositories.
• Experience with log monitoring tools like AWS cloudwatch, sumologic etc
• Strong communication skills, with the ability to explain complex concepts verbally and in written form
• Ability to troubleshoot complex software workflows
• Strict attention to detail, highly organized, and efficient
• Familiarity with Kanban and Agile, and expertise in Software Development lifecycle methodologies
• BA/BS in Computer Science, Quality Assurance, Engineering, or related field