Senior Performance Engineer – JMeter, JavaScript

Job Description: • Lead performance testing activities including planning, workload modeling, test design, scripting, execution, analysis, reporting, and stakeholder communication • Establish and validate non-functional requirements and performance service level objectives • Design and execute load, stress, spike, endurance, scalability, and capacity testing scenarios • Develop realistic workload models based on business transactions, production usage patterns, and projected growth • Plan performance test environments, monitoring and observability requirements, test data strategies, and distributed load generation • Analyze performance metrics, logs, traces, and monitoring data across applications, databases, infrastructure, JVMs, containers, and cloud platforms • Identify bottlenecks and root causes and recommend corrective actions • Establish performance baselines and identify regressions across releases • Design, develop, and maintain performance testing frameworks, automation utilities, CI/CD integrations, and cloud-native testing capabilities • Support AWS services, Kubernetes clusters, Docker containers, Helm deployments, and microservices architectures • Participate in architecture and design reviews to identify performance and scalability risks • Mentor engineers on performance engineering methodologies, tools, and best practices • Evaluate emerging performance engineering, observability, and AI-enabled testing solutions • Present performance findings, risks, and remediation recommendations to technical and business stakeholders • Lead software solution development, coding, unit testing, code reviews, integration, troubleshooting, defect remediation, and production-log analysis • Assist developers through guidance and training Requirements: • Bachelor's degree in relevant field of study and 5+ years of relevant professional experience, or equivalent combination of education and experience • Additional years of relevant experience considered in lieu of degree • 5+ years of experience in performance testing and engineering for large-scale web, mobile, and digital applications, APIs, and microservices, including 2+ years in a technical lead role • Strong experience performance testing enterprise applications across REST, GraphQL, SOAP, HTTP/S, WebSockets, monolithic, microservices, and serverless architectures • Proficiency deploying, executing, and managing JMeter or comparable performance testing tools in cloud-hosted containerized environments such as Kubernetes on AWS • Skilled in building workload models from production usage data and producing performance reports • Experience designing, generating, and managing large-scale test data sets • Strong knowledge of Java, JVM tuning, thread analysis, memory management, and performance optimization • Experience integrating performance tests into CI/CD pipelines and supporting shift-left performance engineering • Working knowledge of relational, NoSQL, and time-series databases, including database performance tuning • Experience with monitoring and observability tools such as Splunk, Amazon CloudWatch, Dynatrace, or AppDynamics • Understanding of distributed systems, cloud-native architectures, Kubernetes/container platforms, and modern web application infrastructure • Experience conducting performance, load, stress, scalability, endurance, and capacity testing • Experience working in Agile environments and collaborating with Development, DevOps, Architecture, Product, and Infrastructure teams • Excellent verbal, written, presentation, and stakeholder communication skills • Strong analytical and problem-solving skills • Proven ability to influence cross-functional teams and drive performance improvements • Ability to work independently while managing multiple priorities • Strong leadership, mentoring, and knowledge-sharing capabilities • Excellent organizational and documentation skills • Ability to thrive in fast-paced Agile environments • Preferred: experience supporting healthcare, government, or regulated technology programs • Preferred: experience with AI-assisted test generation, analysis, and performance optimization tools • Preferred: experience contributing to architecture reviews and cloud modernization initiatives Benefits: • Health insurance coverage • Life and disability insurance • Retirement savings plan • Paid holidays • Paid time off • Short- and long-term incentives • Program-specific awards • Reasonable accommodations during the employment process