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QA Engineer (Datadog)

Posted 10 days agoViewed

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πŸ’Ž Seniority level: Middle, 3+ years

πŸ“ Location: India

πŸ” Industry: Residential Real Estate

🏒 Company: RealπŸ‘₯ 51-100MortgageInformation TechnologyReal Estate

πŸ—£οΈ Languages: English

⏳ Experience: 3+ years

πŸͺ„ Skills: SQLData AnalysisQAQA AutomationAPI testingSeleniumCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingAgile methodologiesRESTful APIsLinuxDebugging

Requirements:
  • Strong experience with Datadog, including setting up monitoring, alerts, and dashboards.
  • Proficiency in testing methodologies, test case creation, and test case management.
  • Ability to analyze and interpret performance metrics to drive actionable insights.
  • Excellent problem-solving skills with a focus on proactive issue detection and resolution.
  • Strong written and verbal communication skills for effective collaboration with cross-functional teams.
  • Self-motivated with a positive attitude and a commitment to continuous improvement.
  • Experience in leveraging monitoring tools, especially Datadog, to enhance quality assurance processes.
  • Familiarity with performance optimization strategies and methodologies.
  • Knowledge of software development lifecycles and agile methodologies.
  • Experience in implementing automated testing frameworks that integrate with Datadog.
Responsibilities:
  • Utilize Datadog to monitor application performance, detect issues proactively, and analyze metrics for continuous improvement.
  • Design and execute comprehensive test plans and test cases that align with Datadog insights, ensuring effective coverage of application functionality.
  • Collaborate with development teams to prioritize bug fixes based on data-driven findings and facilitate faster resolution times.
  • Conduct root cause analysis of issues detected via Datadog to enhance product stability and reduce downtime.
  • Implement and refine testing procedures that leverage Datadog's monitoring capabilities for ongoing performance optimization.
  • Create detailed documentation of testing processes, issues detected, and resolutions to support knowledge sharing within the team.
  • Engage in streamlined debugging processes by integrating Datadog alerts and reports into the testing workflow.
  • Analyze and report on application performance metrics to inform development decisions and better resource allocation.
  • Participate in regular reviews of monitoring setups in Datadog to ensure they align with evolving application requirements.
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