The Staff Quality Engineer – Performance Engineering & QE Tools Administration is a senior technical leader responsible for defining, executing, and governing enterprise‑grade performance engineering strategy while also owning administration, and maintenance of core QE tooling across portfolios.
This role operates at both Practice and Portfolio / SME levels—driving non‑functional quality standards, enabling delivery teams, influencing architecture and design decisions, and ensuring QE platforms (qTest, BlazeMeter, Sauce Labs) are stable, scalable, cost‑effective, and well‑governed.
The Staff QE is a hands‑on expert, coach, and steward of quality, ensuring performance, reliability, and observability are built in early and continuously across the SDLC.
What you'll do
Performance Engineering
Define and evolve enterprise performance engineering standards, frameworks, and reference architectures
Contribute to QE Practice strategy, roadmaps, and tooling decisions
Lead performance test strategy, scoping, and impact analysis for complex digital initiatives across various projects and platforms
Define and execute non‑functional test models including: Load, Stress, Endurance, Spike, Scalability, Volume, and Failover testing
Actively participate in architecture, design, and non‑functional requirement reviews, ensuring performance, scalability, and resiliency are addressed early
Analyze performance results against SLAs, SLOs, and benchmarks, providing actionable tuning and optimization recommendations
Integrate performance testing and monitoring into CI/CD pipelines, enabling continuous performance feedback
Serve as a performance SME for delivery teams, advising on capacity planning, scaling strategies, and release readiness
Drive continuous improvement initiatives across non‑functional testing, tooling, and reporting
Mentor and coach Senior and Lead QEs, raising the overall quality and performance engineering maturity
Influence cross‑portfolio alignment on quality metrics, KPIs, and governance models
QE Tools Administration & Enablement
Own administration, configuration, and governance of enterprise QE tools including: qTest, BlazeMeter & Sauce Labs
Define and maintain tool usage standards, access models, naming conventions, and best practices
Manage user onboarding, role‑based access, licensing optimization, and cost controls for QE platforms
Partner with vendors and internal platform teams to resolve tool issues, plan upgrades, and evaluate new features and capabilities
Establish enterprise dashboards and reporting to provide visibility into quality, coverage, execution health, and performance trends
Act as the single point of accountability for QE tool health, stability, and adoption across portfolios
What you bring
15+ years of experience in Quality Engineering, with deep specialization in performance engineering
Proven experience in digital performance testing (Web, Mobile Web, Native Mobile Apps)
Strong understanding of cloud‑based architectures and performance testing in distributed systems
Hands‑on experience with APM and observability tools (Dynatrace, New Relic)
Working knowledge of at least one programming/scripting language (Java, JavaScript, Python, C#, etc.)
Experience with logging platforms (ELK, Splunk, Sumo Logic)
Demonstrated ability to operate as a technical leader, influencer, and mentor
We’re always looking for great talent! In addition to competitive pay, we offer:
Comprehensive benefits and retirement programs
Performance incentives, Continuing Education Programs
Other perks to support your well-being
Career growth opportunities and product discounts
Our typical hiring range is between $90,000.00 to $131,000.00 per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2
We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.