Lead the Performance Engineering CoE by defining performance standards, reusable frameworks, tooling strategy, governance practices, and enablement models that scale across product lines.
Design realistic workload models, performance baselines, SLAs, and regression thresholds using production metrics, usage analytics, clinical transaction patterns, concurrency targets, throughput goals, and data volumes.
Plan and execute load, stress, spike, soak, capacity, and scalability testing for high-volume workflows, then translate results into clear engineering recommendations and remediation priorities.
Partner with development, architecture, DevOps, and database teams to identify and resolve bottlenecks across APIs, JVM, databases, caching, frontend, network, infrastructure, and cloud layers.
Define automation coverage targets, guide scalable frameworks using Selenium, Playwright, RestAssured, or equivalent tools, and use coverage thresholds as part of release quality gates.
Establish and track quality metrics across performance, scalability, reliability, security, accessibility, environment stability, release confidence, defect escape rate, and other non-functional requirements.
Lead release readiness and QA governance reviews with clear entry and exit criteria, test strategy alignment, go/no-go recommendations, defect triage discipline, test evidence, release process adherence, and transparent risk communication.
Improve QA productivity by reducing test cycle time, increasing defect detection efficiency, improving MTTR, strengthening sprint predictability, stabilizing environments, and reducing flaky automation.
Partner with product, engineering, architecture, DevOps, and QA leaders during planning, design reviews, defect triage, release readiness, and product discussions to surface risks early and influence decisions with data.
Support the Testing CoE by sharing reusable frameworks, standards, automation assets, lessons learned, and best practices that raise quality maturity across the organization.
Required Qualifications and Skills
12+ years of progressive Quality Engineering and/or Performance Engineering experience, including 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.
Preferred 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.
Working Conditions
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 is essential to success in this role.
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. Specific in-office days may be designated based on team needs and business priorities.
McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.
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. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.
If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$121,500 - $202,500
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
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McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
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