Remote Lead Performance Engineer (Scale & Resilience)

Cognizant; Salt Lake City (UT); Remote; USD 83,000 - 132,000; Full time

Job summary

Cognizant is seeking a Lead Performance Test Engineer to lead performance engineering for enterprise and cloud-native apps. You will design, implement, and optimize performance tests, integrate them into CI/CD, and use AWS and observability tools to drive resiliency.

Remote, US-based, with a focus on scalable architectures and collaboration with SRE and DevOps teams. The role emphasizes hands-on testing, automations, and performance-driven quality gates, with a competitive salary and

Qualifications

• At least 10 years of hands-on experience in performance testing, performance engineering, or non-functional testing for enterprise applications.
• Hands-on expertise with NeoLoad or a comparable enterprise performance testing tool, including test design, workload modeling, execution, analysis, and reporting.
• Experience integrating automated performance tests into CI/CD pipelines using GitLab CI/CD or similar automation platforms.
• Hands-on experience with AWS cloud services and cloud-native architectures, including services such as EC2, ECS, EKS, Lambda, RDS, S3, and CloudWatch.
• Programming and scripting experience using Python, Java, SQL, and shell scripting, including experience testing REST APIs, microservices, and distributed systems.
• Experience diagnosing performance issues across application, database, infrastructure, network, and cloud layers using observability tools such as Dynatrace, AppDynamics, Splunk, Grafana, Prometheus, or Elastic Stack .
• Experience working with containerized environments and orchestration platforms such as Kubernetes, Docker, OpenShift, ECS, or EKS.
• Strong communication, collaboration, and stakeholder-management skills, with the flexibility to support planned production testing during off-hours or weekends when required.

Responsibilities

• Design and execute performance, load, stress, endurance, scalability, and capacity-testing strategies for enterprise applications, APIs, and cloud-based services.
• Build and maintain automated performance-testing frameworks using NeoLoad and custom performance engineering solutions.
• Integrate performance testing into CI/CD pipelines using GitLab CI/CD or comparable automation platforms, including performance thresholds and quality gates.
• Analyze applications, database, infrastructure, network, and cloud performance to identify bottlenecks and provide actionable optimization recommendations.
• Use AWS services and observability platforms such as CloudWatch, Dynatrace, Splunk, Grafana, and Prometheus to troubleshoot complex performance issues.
• Plan and execute Chaos Engineering and resiliency-testing exercises to evaluate fault tolerance, recovery capabilities, and operational readiness.
• Develop automation utilities using Python, Java, SQL, APIs, and scripting languages to improve testing efficiency and reduce manual effort.
• Partner with technical and business stakeholders to define performance KPIs, engineering standards, capacity requirements, and performance-improvement plans.

Skills

Performance testing

Automation

Cloud platforms

Observability

Resiliency testing

CI/CD integration

Python

Java

SQL

Shell scripting

Kubernetes

Docker

OpenShift

AWS

Stakeholder mgmt

APIs

Tools

NeoLoad

GitLab CI/CD

Dynatrace

AppDynamics

Splunk

Grafana

Prometheus

Elastic Stack

CloudWatch

Job description

Cognizant is seeking a Lead Performance Test Engineer to lead performance engineering for enterprise and cloud-native apps. You will design, implement, and optimize performance tests, integrate them into CI/CD, and use AWS and observability tools to drive resiliency.

Remote, US-based, with a focus on scalable architectures and collaboration with SRE and DevOps teams. The role emphasizes hands-on testing, automations, and performance-driven quality gates, with a competitive salary and