Remote Lead Performance Testing Engineer

Cognizant; Austin (TX); Remote; USD 83,000 - 132,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Lead Performance Test Engineer to guide performance engineering initiatives for complex enterprise and cloud-native apps. The role combines hands-on testing with automation, observability, and resiliency strategies.

You will design testing strategies, build automated frameworks, and integrate tests into CI/CD pipelines, using AWS, NeoLoad, and modern observability tools to optimize performance and reliability.

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.

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

NeoLoad

CI/CD

AWS

Python

Java

SQL

Shell scripting

Observability tools

Kubernetes

Docker

OpenShift

ECS

EKS

REST APIs

SRE concepts

Tools

GitLab CI/CD

Job description

Cognizant is seeking a Lead Performance Test Engineer to guide performance engineering initiatives for complex enterprise and cloud-native apps. The role combines hands-on testing with automation, observability, and resiliency strategies.

You will design testing strategies, build automated frameworks, and integrate tests into CI/CD pipelines, using AWS, NeoLoad, and modern observability tools to optimize performance and reliability.