Senior Associate - Performance / Quality Engineering Lead

Location Designation: Hybrid - 3 days per quarter 

Performance & Quality Engineering Lead to act as the enterprise owner and governor of performance engineering platforms, observability tooling, and non functional quality standards across business critical platforms, including AI  enabled systems. Operating within a Center for Enablement (C4E) model, this role enables multiple value streams through standardized performance practices, governed tooling, reusable assets, and metrics driven insights.
This role owns the end to end performance engineering capability—from strategy and standards to tooling administration, CI/CD integration, and observability driven diagnostics. You will partner closely with Engineering, DevOps, SRE, Cloud, and Architecture teams to embed performance, scalability, reliability, and resiliency early and continuously across the SDLC.

This is a platform ownership and enablement led leadership role, combining tooling administration, observability governance, and hands on performance engineering expertise.

Performance Engineering Strategy & Enterprise Enablement
• Define and govern enterprise performance engineering standards across load, stress, spike, endurance, soak, capacity, and resiliency testing
• Own performance related non functional requirements (NFRs) and acceptance criteria in partnership with Architecture and Engineering
• Drive proactive performance engineering through early bottleneck identification, workload modeling, capacity planning, and scalability/reliability design guidance
• Embed shift left performance validation within Agile SDLCs and continuous delivery pipelines
• Enable teams via standardized frameworks, reusable assets, and playbooks, aligned with a C4E model, and act as an enterprise performance mentor and authority

Performance Tooling Administration & CI/CD Integration
• Serve as enterprise owner and administrator of performance testing platforms including NeoLoad, LoadRunner / Performance Center, and Apache JMeter
• Define and enforce tooling standards covering test design, execution models, reusability, dataset management, and environment readiness
• Build, govern, and automate reusable performance test suites for scalable execution
• Integrate performance testing into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps) with automated gating
• Define and enforce performance baselines, thresholds, SLAs, SLOs, and release gating criteria
• Govern production like performance environments and execution strategies

Cloud, Containers & Platform Performance
• Govern performance validation for cloud native and distributed platforms across AWS and Google Cloud
• Define performance standards for Kubernetes/OpenShift platforms and microservices, API, and messaging architectures
• Validate elasticity, auto scaling, failover, and resiliency under high and extreme load conditions
• Support performance assurance for SaaS platforms, accounting for shared infrastructure and vendor constraints

Observability, Diagnostics & Optimization
• Own and govern enterprise observability and diagnostics platforms including Dynatrace, AppDynamics, Splunk, and Prometheus/Grafana
• Define enterprise standards for performance metrics, logs, traces, and correlation of test results with runtime behavior
• Lead end to end root cause analysis (RCA) across application, JVM, container, infrastructure, and network layers
• Establish and track enterprise performance KPIs including response time, latency, throughput, concurrency, error rates, and resource utilization

Pay Transparency

Salary Range: $111,500-$159,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.