Why This Role Stands Out
This on-site Performance Engineer role offers a fantastic opportunity to hone your skills in scalability and system tuning, utilizing tools like LoadRunner and cloud technologies, within a reputable company. If you excel at bottleneck analysis, capacity planning, and translating requirements into actionable insights, you'll thrive in this challenging and rewarding position.
Quick Overview
Seniority
Mid Senior
Employment type
Employee
Work mode
On Site
Location
New Carrollton, MD, United States
Posted
Yesterday
Job Description
Job Title: Performance Tester
Location: McLean, VA
Type: Contract To Hire
Work Model: Onsite Security Clearance: IRS MBI is preferred
Contact: RESPONSIBILITIES
- Experience with performance testing and system tuning to ensure applications meet scalability requirements.
- Experience with LoadRunner for designing, executing, and analyzing performance tests.
- Skilled in bottleneck analysis and establishing performance baselines.
- Understanding of Service Level Agreements (SLA'S), Key Performance Indicators (KPIs), and non-functional requirements; translating them into testing objectives.
- Experience producing forecasts and workload projections based on trend analysis and historical data.
- Knowledge of cloud performance testing (AWS, Azure).
- Strong skills in analyzing test results and findings to provide actionable recommendations.
- Experience with capacity planning frameworks and building performance models to anticipate future growth and demand.
- Familiarity with monitoring tools for performance testing, such as AppDynamics or Splunk, to identify and analyze bottlenecks.
- Familiarity with mainframe and web-based performance systems.
- Experience with performance testing and system tuning.
- Proficiency with LoadRunner or similar performance testing tools.
- Ability to analyze performance data and provide insights.
- Knowledge of cloud performance testing environments such as AWS and Azure.
- Strong analytical skills to evaluate test results and performance baselines.
- Experience with capacity planning and performance modeling.
- Familiarity with monitoring tools like AppDynamics or Splunk.
- Understanding of SLAs, KPIs, and non-functional requirements.
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