Performance Engineering - Sr. QA Manager
$121,500–$202,500 year
RemoteAtlanta, Georgia, United States or Irving, Texas, United States
Job Summary
Lead the Performance Engineering Center of Excellence by defining standards, tooling strategy, and governance practices for high-transaction healthcare platforms. Design realistic workload models, baselines, and SLAs using clinical transaction patterns, then execute load, stress, spike, and capacity testing to identify bottlenecks across APIs, databases, and cloud layers. Partner with development, DevOps, and architecture teams to resolve performance issues, establish automation coverage targets, and guide scalable frameworks using Selenium, Playwright, or RestAssured. Establish quality metrics, lead release readiness reviews with clear entry/exit criteria, and improve productivity by reducing test cycle time and defect escape rates. Work with distributed teams across US and India time zones in a hybrid role requiring two days on-site at the Las Colinas office.
Required Qualifications
- 12+ years of progressive Quality Engineering and/or Performance Engineering experience
- 4+ years in formal people management or engineering leadership roles managing QA teams of five or more engineers
- Ability to personally design, script, execute, analyze, and communicate performance tests and findings without relying solely on team execution
- Hands-on experience with JMeter, LoadRunner, k6, Gatling, NeoLoad, or equivalent tools, including advanced scripting, protocol-level testing, workload modeling, distributed load generation, correlation, and parameterization
- Ability to program and script in Java, Groovy, Python, or equivalent languages to build test scripts, utilities, custom extensions, and automation support
- Strong working knowledge of modern distributed architectures, including microservices, APIs, API gateways, event-driven systems, containers, Java Spring Boot services, and React-based frontend or micro-frontend applications
- Experience integrating quality and performance validation into CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or equivalent platforms, with automated execution, pipeline reporting, performance gates, and release thresholds
- Strong understanding of system performance tuning across JVM internals, garbage collection, thread analysis, connection pools, application server configuration, OS and infrastructure utilization, and autoscaling behavior
- Practical experience with Dynatrace or comparable APM tools, distributed tracing, dashboards, alerting, proactive monitoring, and performance analysis across Oracle, PostgreSQL, MongoDB, Redis, query tuning, and indexing
- Strong troubleshooting capability across application code, JVM, database, network, infrastructure, and frontend layers, with the ability to translate findings into actionable engineering recommendations
- Ability to define and guide automation strategy using Selenium, Playwright, RestAssured, API automation, regression coverage targets, framework governance, coverage thresholds, and automation ratio tracking
- Hands-on experience using AI-assisted QA, test automation, code generation, analysis, or productivity tools to improve test coverage, delivery speed, engineering effectiveness, and quality outcomes
- Proven ability to lead QA strategy, test planning, QA process maturity, automation maturity, release sign-off, quality metrics, NFR governance, process improvement, and stakeholder communication across product portfolios
- Regular collaboration with distributed engineering, QA, and DevOps teams across US and India time zones; the ability to communicate effectively across geographies and lead virtual teams
- This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely
- Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
Desired Qualifications
- Healthcare technology, EMR, EHR, clinical workflow, patient-facing platform, or other mission-critical healthcare product experience
- Experience building or scaling a Performance Engineering CoE, community of practice, shared tooling library, governance model, or internal enablement program
- Experience with Kubernetes, container resource tuning, autoscaling, and modern cloud platforms such as AWS, Azure, or GCP
- Knowledge of healthcare interoperability standards such as HL7 and FHIR, along with awareness of healthcare data sensitivity, HIPAA, audit readiness, and collaboration with compliance, security, and legal partners
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