Lead Performance Test Engineer

Cognizant; Salem (OR); Remote; USD 83,000 - 132,000; Full time

Benefits offered by this job

Insurance

PTO

401k

Disability

Parental Leave

ESPP

Job summary

Cognizant in the United States is seeking a Lead Performance Test Engineer to drive performance engineering for enterprise and cloud-native applications, combining hands-on testing with automation and observability.

You will design tests, build frameworks with NeoLoad, integrate with GitLab CI/CD, and analyze bottlenecks across apps, databases, and cloud services using CloudWatch, Dynatrace, Grafana, and Prometheus.

Qualifications

• Hands-on performance testing for enterprise applications.
• Experience designing and executing performance, load, and chaos tests.
• Experience integrating automated tests into CI/CD pipelines.
• Proficiency with AWS services and cloud-native architectures.
• Programming/scripting in Python, Java, SQL, and shell scripting.

Responsibilities

• Design and execute performance, load, stress, endurance, scalability, and capacity tests for enterprise apps and APIs.
• Build and maintain automated performance testing frameworks (NeoLoad and custom solutions).
• Integrate performance tests into CI/CD pipelines with thresholds and quality gates.
• Analyze app, DB, infrastructure, network, and cloud performance to identify bottlenecks.
• Use observability tools (CloudWatch, Dynatrace, Splunk, Grafana, Prometheus) to troubleshoot issues.
• Plan and run Chaos Engineering and resiliency tests to validate fault tolerance.
• Develop automation utilities to improve testing efficiency and reduce manual effort.
• Collaborate with stakeholders to define performance KPIs and capacity needs.

Skills

Performance testing

Test automation

CI/CD integration

Stakeholder management

Distributed systems

Testing design

Tools

NeoLoad

GitLab CI/CD

AWS

Kubernetes

Docker

OpenShift

ECS/EKS

CloudWatch

Dynatrace

Grafana

Prometheus

Job description

About the role

As a Lead Performance Test Engineer, you will make an impact by leading and executing performance engineering initiatives for complex enterprise and cloud-native applications. This is a hands-on technical role requiring deep expertise in performance testing, automation, cloud platforms, observability, and application resiliency.

You will collaborate with development, architecture, platform engineering, DevOps, and Site Reliability Engineering teams to establish performance standards, implement automated quality gates, identify system bottlenecks, and improve application scalability and operational readiness.

In this role, you will:

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.

Work model

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a Remote position open to qualified applicants in the United States for the duration of the assignment. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you are engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered

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.

These will help you stand out

Experience designing and implementing Chaos Engineering, resiliency-testing, or disaster-recovery validation programs.

Knowledge of Site Reliability Engineering principles, operational excellence practices, service-level objectives, and performance-based quality gates.

Experience with capacity planning, scalability analysis, production-readiness assessments, and cloud-cost optimization.

Experience developing reusable performance engineering frameworks, accelerators, or custom automation utilities.

Exposure to AI-driven performance analysis, anomaly detection, root-cause analysis, predictive capacity planning, or intelligent test automation.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation

The annual salary for this position is between $83,250 to $132,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• 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

Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.