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QA Engineer (Manual Testing) Internship in Mumbai

0 years

0 Lacs

mumbai metropolitan region

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

testing test architecture integration regression installation usability reliability database debugging analysis layers mobile reporting devops jira kibana tracking api postman data jmeter scalability automation ai metrics storage technology saas processing design healthcare gaming

Work Mode

On-site

Job Type

Internship

Job Description

Selected Intern’s Day-to-day Responsibilities Include

  • Analyse user stories, use cases, and requirements for validity and feasibility.
  • Develop and execute comprehensive test scenarios for multi-tier architecture and distributed systems.
  • Perform functional, integration, regression, system, smoke/sanity, installation, and upgrade testing.
  • Evaluate application performance, usability, and reliability through manual and automated testing.
  • Execute test cases with attention to database impact, edge cases, and error-handling scenarios.
  • Perform debugging and root cause analysis across various layers of the tech stack.
  • Test web and mobile applications as well as RESTful APIs.
  • Document test plans, procedures, and results while reporting anomalies and bugs.
  • Collaborate with cross-functional teams including developers, DevOps, SREs, and product managers.
  • Leverage tools like Jira, YouTrack, and Kibana for defect tracking and log analysis.
  • Use API testing tools such as Postman and Insomnia.
  • Utilize Metabase for data validation and test-related insights.
  • Apply performance testing techniques using JMeter and conduct reliability and scalability testing.
  • Engage in automation on a need basis and incorporate AI-driven test case generation tools like TestCraft to enhance productivity and meet deadlines efficiently.
  • Manage cloud-based logs and metrics using Google Cloud Storage (GCS).
About Company: We are a startup filled with young and enthusiastic technology professionals. We specialize in modern solutions utilizing contemporary technologies such as cloud computing, enterprise platforms, SaaS applications, voice assistants, and cognitive interventions (natural language processing, conversational systems/chatbots, and machine learning).
We prioritize delivering meaningful outcomes and are committed to meeting our clients' interests. Therefore, we meticulously focus on the design and architecture of solutions to ensure they meet stringent quality standards. Our expertise spans diverse industry domains including fraud detection, healthcare, media/entertainment, ed-tech, HR, and gaming.

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