Job Description

• Analyze the business requirements, understand the expectation from end user, review with Business Analysts/SMEs and design test scenarios.
• Works closely with development, QA, and operations teams to understand application architecture and performance requirements.
• Design and develop performance test scripts and scenarios using appropriate tools and frameworks.
• Monitor system behavior during performance, Load, Stress, and failover tests and ensure systems meet recovery time objectives.
• Conduct failover tests by simulations of hardware, software, and network failures.
• Identify performance bottlenecks, root causes, and potential solutions.
• Analyze Results, compare against SLAs, Benchmarks and Provide tuning recommendations to improve End User Experience.
• Document findings in Test management tool and provide actionable recommendations for improving performance/failover processes.
• Work closely with development, QA and Operations teams to integrate performance and failover testing into the overall testing Approach documentation.
• Collaborate with Enterprise Quality Process team and ensure standards are followed during failover testing and audit checks are passed.
• Find opportunity to automate, improve existing process, & contribute towards innovation by doing POCs on latest technologies.

• Technical Skills

  • Experience in Performance and Failover testing on cloud & on-prem for n-tiered environments.
  • Good understanding of application architecture, Non-Functional Requirements & identifying production workloads.
  • Some experience in using tools such as JMeter, Selenium, SpiraTest, and LoadRunner
  • Good understanding of load, soak, scalability, and other types of performance tests.
  • Understanding of AWS or Azure platform to run performance and failover tests.
  • Exposure in performance engineering for J2EE/ .NET / LAMP, etc.
  • Familiar with monitoring queues with tools like Any Point, MQ explorer etc.
  • Experience in running automated performance tests via CI/CD pipelines (on platforms like Cloud bees, GitHub etc.)
  • Experience with application monitoring/Observability, building dashboards, identifying & establishing SLA s, logging & tracing.
  • Understanding of Capacity planning and Performance tuning.
  • Familiar with container technologies such as Docker or Kubernetes.
  • Understanding in observability/ Site Reliability engineering.
  • Working knowledge of Atlassian products Jira Software, Confluence

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10119106
• Position Id: 8433432

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