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Performance Engineer
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Scorecard
Based on Maryland data
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What they do
A Performance Engineer designs and develops computer software and applications using system performance engineering strategies. Uses an ongoing, comprehensive approach to developing computer software and applications for a company or customer. Assists with computer software and application design, coding, testing and quality assurance work.
$144,030 / year median in Maryland
-1% projected decline
Job Description
Performance Engineer
Job Title:
Performance TesterLocation:
McLean, VAType:
Contract To HireWork Model:
OnsiteSecurity Clearance:
IRS MBI is preferred
Contact:
Crystaldinnocentisystemone
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.
REQUIREMENTS
- 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.