Senior Performance Engineer - JMeter & Cloud (Remote)

Maximus; Trenton (NJ); Remote; USD 120,000 - 145,000; Full time

Job summary

Maximus is seeking a Senior Performance Engineer to lead performance activities across large healthcare technology programs. This remote role partners with Development, Architecture, DevOps, Cloud Engineering, DB Admin, Product, and Business teams to optimize scalability, reliability, and capacity.

You will design workload models, validate NFRs and SLAs, and mentor others. The position emphasizes building performance testing frameworks, integrating tests into CI/CD, and applying AI-enabled

Qualifications

• - Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.
• - 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 diverse API styles (REST, GraphQL, SOAP), protocols (HTTP/S, WebSockets), and architectural patterns (monolithic, microservices, serverless).
• - 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, correlating results across application and infrastructure tiers, and producing performance reports that quantify risk and support release decisions.

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.
• 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 and assess their potential to improve test script creation, maintenance, analysis, and optimization.

Skills

Performance testing

JVM tuning

CI/CD integration

Load testing

Cloud platforms

Kubernetes

Java

Observability

AI-enabled testing

Strong communication

Education

Bachelor's degree in relevant field

Tools

JMeter

Kubernetes on AWS

CI/CD tools

Splunk/CloudWatch

Job description

Maximus is seeking a Senior Performance Engineer to lead performance activities across large healthcare technology programs. This remote role partners with Development, Architecture, DevOps, Cloud Engineering, DB Admin, Product, and Business teams to optimize scalability, reliability, and capacity.

You will design workload models, validate NFRs and SLAs, and mentor others. The position emphasizes building performance testing frameworks, integrating tests into CI/CD, and applying AI-enabled