Senior Performance Engineer- JMeter, JavaScript - Remote

Description & Requirements

Maximus  is currently seeking a  Senior Performance Engineer. The Senior Performance Engineer leads performance engineering activities across large-scale healthcare technology programs. This role defines performance test strategies, develops and maintains performance testing frameworks, creates realistic workload models, and evaluates application scalability, reliability, stability, and capacity. The engineer partners with Development, Architecture, DevOps, Cloud Engineering, Database Administration, Product, and Business teams to identify bottlenecks, determine root causes, recommend corrective actions, and validate improvements. The role also establishes performance engineering standards, integrates performance validation into CI/CD pipelines, mentor other engineers, and communicates technical and business risks to stakeholders. This is a remote position.

Essential Duties and Responsibilities: - Lead the development of software solutions that will meet or exceed business requirements which includes; designing and implementing modules to the system specifications, conducting unit testing, troubleshooting issues, and producing detailed proposals to resolve issues. - Evaluate new coding techniques, tools, modules, and implement as appropriate. - Consult on requirements elicitation and definition. - Design software solutions per systems requirements. - Code software solutions per designs. - Code reviews, unit test, and integrate coded modules. - Assist other developers in resolving issues by providing guidance and training. - Support testing and remediate defects. - Support users through troubleshooting and analysis of production logs and data. - Investigate new solutions, tools, products, and techniques to incorporate into coding standards. - May provide guidance, coaching, and training to other employees within job area.

Job-Specific Essential Duties and Responsibilities: - Lead performance testing activities including planning, workload modeling, test design, scripting, execution, analysis, reporting, and stakeholder communication. - Partner with business and technical stakeholders to establish, refine, and validate non-functional requirements (NFRs) and performance service level objectives, ensuring response time, throughput, concurrency, scalability, availability, resilience, and capacity targets align with business and operational needs. - 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 approaches. - Analyze performance metrics, logs, traces, and monitoring data across applications, databases, infrastructure, JVMs, containers, and cloud platforms to identify bottlenecks and root causes. - Provide actionable recommendations to improve system performance, scalability, reliability, and resource utilization. - Establish performance baselines and identify performance regressions across releases. - Design, develop, and maintain performance testing frameworks, automation utilities, CI/CD integrations, and cloud-native testing capabilities supporting AWS services, Kubernetes clusters, Docker containers, Helm deployments, and microservices architectures. - Participate in architecture and design reviews to identify performance, scalability, and NFR testability risks early in the development lifecycle. - Mentor engineers on performance engineering methodologies, tools, and best practices. - Evaluate and recommend emerging performance engineering, observability, and AI-enabled testing solutions. - Present performance findings, risks, and remediation recommendations to technical and business stakeholders. - Bring working knowledge of AI-enabled testing tools available in the marketplace and identify