Senior Performance Test Engineer

All 5 days in Office (Plano, Tx) Final Inperson interview is required.(Only locals) About the Role Sands is seeking an experienced Senior Performance Engineer to join its enterpriseapplications team. The successful candidate will lead performance engineering for abusiness-critical enterprise application suite in preparation for its go-live at a Sands property.The role is responsible for establishing performance baselines, validating that the applicationscales to production traffic volumes, and confirming that it operates within its sized capacity onproduction hardware. The application is hosted on Red Hat OpenShift running on on-premisesservers, across both non-production and production environments. As this infrastructure hasfixed capacity, and additional hardware requires significant procurement lead time, accuratemeasurement and forecasting are central to the position.The Senior Performance Engineer will work independently, conducting their own research andanalysis, and will collaborate closely with development, database, platform engineering andvendor teams.

Key Responsibilities

• Establish, measure and maintain performance baselines for each release across API,service and user-interface scenarios, weighted in proportion to actual usage.
• Develop workload models, including transaction volumes, concurrent users,transactions per second and test durations, derived from production traffic data andagreed with business stakeholders and vendors.
• Design, develop and maintain performance test scripts using JMeter, Artillery andPlaywright, reusing existing test assets where appropriate.
• Execute load and endurance tests throughout each release cycle in a dedicatedperformance environment.
• Validate application scalability at and beyond production traffic volumes, assessutilization of CPU, memory, database and storage capacity, and report remainingheadroom and capacity limits in time to inform hardware planning.
• Analyze test results against baselines, identify regressions promptly, and determineroot causes using platform, database and application metrics.
• Partner with developers, database administrators and platform engineers to resolveperformance issues, including query optimization, resource configuration, runtimetuning and scaling.
• Prepare performance reports and present findings and recommendations to supportformal release approval.
• Work with platform engineering to ensure the performance environment remainsrepresentative of production and is managed through GitOps practices.
• Identify and coordinate dependencies required for testing, including interfaceinventories, test accounts, test data and integration stubs.

Qualifications and Experience

• Prepare and maintain production-scale, anonymized test data sets. Qualifications and Experience
• Minimum of seven years of experience in performance engineering or performancetesting of enterprise web applications, including leading performance testing for majorreleases or system go-lives and presenting capacity findings to senior leadership.
• Demonstrated ability to work independently, including researching unfamiliar systems,forming and testing hypotheses, and drawing sound conclusions with minimaldirection.
• Experience in capacity planning for fixed, on-premises infrastructure, including sizingworkloads to available hardware, extrapolating results from non-production toproduction environments, and forecasting future capacity requirements.
• Hands-on scripting experience with JMeter and at least one additional load testing toolsuch as Artillery, k6, Gatling or Locust.
• Experience with user-interface performance testing using Playwright or a comparablebrowser automation tool.
• Strong understanding of load and endurance testing, workload modeling based onproduction traffic, and percentile-based performance analysis.
• Experience testing REST APIs and service-to-service communication in distributedsystems.
• Hands-on expertise with Kubernetes, including configuring resource requests andlimits, horizontal and vertical scaling, node scheduling, and analyzing pod, node andcluster-level metrics and logs to diagnose performance issues.
• Proficiency with Kubernetes tooling, including kubectl and the OpenShift CLI (oc),Helm and Kustomize, for deploying, inspecting and troubleshooting workloads.
• Proficiency in interpreting monitoring data from tools such as Prometheus andGrafana to identify bottlenecks across application, database and infrastructure layers.
• Strong SQL skills and familiarity with relational database performance, preferablePostgreSQL.
• Proficiency in at least one programming or scripting language, such as Python,JavaScript or Java.
• Excellent written and verbal communication skills, with the ability to present technicalfindings to both technical and business audiences.Preferred Qualifications

Preferred Qualifications

• Experience with on-premises Red Hat OpenShift deployments, particularly onbare-metal infrastructure.
• Familiarity with GitOps practices and tools such as Argo CD or OpenShift GitOps.
• Experience in Java and JVM performance tuning, including memory management,garbage collection and thread pool configuration.
• Experience with application performance monitoring (APM) tools for distributedtracing.
• Experience in regulated industries such as gaming, hospitality or financial services.
• Knowledge of enterprise storage performance, including block and network filestorage.
• Experience establishing performance testing within a release process that includesformal approval gates.Technical EnvironmentThe role works with JMeter, Artillery and Playwright for test execution; Red Hat OpenShift onbare-metal servers in Sands datacenters, across non-production and production environments;a dedicated performance environment hosting the full application stack; GitOps-baseddeployment; OpenShift monitoring with Prometheus and Grafana; and PostgreSQL databases.

Technical EnvironmentThe role works with JMeter, Artillery and Playwright for test execution; Red Hat OpenShift onbare-metal servers in Sands datacenters, across non-production and production environments;a dedicated performance environment hosting the full application stack; GitOps-baseddeployment; OpenShift monitoring with Prometheus and Grafana; and PostgreSQL databases.

Key OutcomesWithin the first three months, the successful candidate will be expected to:

• Define and implement baseline test scenarios across API, service and user-interfacelayers.
• Deliver a capacity assessment of the application on production hardware at productiontraffic volumes, including available headroom and capacity limits.
• Establish regular load testing within each release cycle, with results published afterevery run.
• Implement scheduled endurance testing with no unexplained performancedegradation.
• Identify and resolve performance regressions before releases are promoted.