Senior Associate - Performance / Quality Engineering Lead

New York Life • New York, NY

19h • $111,500 - $159,000 • Hybrid

About The Position

The Performance & Quality Engineering Lead will 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.

Requirements

• Senior Associate - Performance / Quality Engineering Lead
• 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.
• 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
• 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
• 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
• 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

Responsibilities

• 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
• 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
• 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
• 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

Benefits

• leave programs
• adoption assistance
• student loan repayment programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed