Performance Testing Lead

Capio Group•Sacramento, CA

1d•$117,000 - $122,000

About The Position

Capio Group is seeking an experienced Performance Testing Lead to provide QA/QC services for enterprise applications. The role supports end-to-end test planning and execution, automation, performance engineering, environment and test-data coordination, and defect management. Work is conducted under client direction using approved tools, with automation integrated into CI/CD. The lead provides per-cycle test summary reports, coverage dashboards, and defect metrics, including density, leakage, and aging. The role validates system scalability, reliability, and performance under expected and peak workloads. It includes reviewing non-functional requirements, architecture documentation, and usage volumes to develop performance strategies; creating scenarios and workload models; developing and configuring scripts; monitoring system metrics; identifying bottlenecks and root causes; and reporting results and tuning recommendations to stakeholders. Capio Group is a California-based IT consulting firm serving the public sector since 2010. It describes itself as a small but quickly growing firm that combines good ideas with great people to serve clients, and offers a flexible workplace and work-life balance.

Requirements

Within the last 10 years, at least 7 years of experience in electronic data processing systems study, design, and programming.
Within the last 10 years, at least 4 years of experience in electronic data processing systems study, design, and programming in a lead capacity.
Bachelor’s degree in an IT-related or Engineering field; qualifying additional experience may substitute year for year. A copy of the degree must be provided upon request.
Within the last 10 years, at least 7 years performing performance testing or performance engineering for large-scale enterprise systems meeting the posting’s definition.
Within the last 10 years, at least 4 years in a lead role managing performance testing teams, including planning, execution, and reporting of test cycles.
Within the last 10 years, at least 4 years designing and implementing end-to-end performance test strategies, including workload modeling, scripting, execution, and reporting.
Within the last 10 years, at least 4 years executing load, stress, endurance, and spike testing and validating results against performance SLAs for response time, throughput, and error rate.
Within the last 10 years, at least 4 years translating non-functional requirements into measurable performance scenarios, including volumetric models and workload distribution.
Within the last 10 years, at least 4 years of hands-on experience with performance testing tools such as LoadRunner, JMeter, or equivalent, and performance monitoring tools such as Elastic, Dynatrace, or equivalent.
Within the last 10 years, at least 4 years testing REST/SOAP APIs and validating latency, throughput, and error handling.
Within the last 10 years, at least 4 years using test management and defect tracking tools such as Micro Focus ALM, Azure DevOps, or Jira.
Within the last 10 years, at least 4 years using SQL or similar technologies for test-data preparation and validation.
Within the last 10 years, at least 4 years conducting bottleneck analysis and providing documented tuning recommendations based on performance results.
Must be able to provide client/user-end reference contact information for each applicable project upon request and submit completed reference forms when requested. Each form must be signed by a reference who represented the company for which the project was developed and served in a management or supervisory role.
Large-scale enterprise systems are defined as systems supporting at least 2,500 concurrent users during peak periods or at least 500,000 registered users; processing at least 500,000 transactions or claims per year or equivalent volume; and including a multi-tier architecture spanning at least three specified areas: web/portal, API/services, batch processing, mainframe integrations, or modern cloud-native services.

Nice To Haves

At least 10 years of cumulative experience performing performance testing or performance engineering for large-scale enterprise systems meeting the posting’s definition.
Within the last 10 years, at least 4 years of cumulative experience leading enterprise-scale performance programs, with demonstrated improvements in SLA compliance or throughput optimization.
Within the last 10 years, at least 5 years integrating performance testing into CI/CD pipelines such as Azure DevOps or Jenkins, with automated pass/fail gates.
Within the last 10 years, at least 3 years performance testing cloud-based or SaaS systems, including autoscaling and distributed load strategies.
Within the last 10 years, at least 1 year supporting large-scale benefit systems, such as Unemployment Insurance or Disability Insurance, that meet the defined enterprise-system criteria.
One or more certifications: ISTQB Certified Tester Performance Testing (CT-PT) or Open Text LoadRunner Professional Certification. A copy must be provided upon request.
Master’s degree in Business Administration, IT, or Engineering. A copy must be provided upon request.

Responsibilities

Provide QA/QC services supporting enterprise applications.
Lead end-to-end test planning and execution, automation, performance engineering, environment and test-data coordination, and defect management.
Conduct work under client direction using client-approved tools and integrate automation into CI/CD.
Provide per-cycle test summary reports, coverage dashboards, and defect metrics, including density, leakage, and aging.
Validate system scalability, reliability, and performance under expected and peak workloads.
Review non-functional requirements, system architecture documentation, and expected system usage volumes to develop performance testing strategies.
Develop performance test scenarios and workload models that represent expected user behavior and transaction volumes.
Develop and configure performance test scripts using client-approved tools.
Monitor response time, throughput, system resource utilization, and transaction success rates.
Analyze performance results to identify bottlenecks and recommend improvements to system performance.
Support performance test result reviews and provide analysis reports to project stakeholders.
Conduct load, stress, endurance, and spike testing; perform script development, monitoring, bottleneck analysis, root-cause analysis, reporting, and tuning recommendations.