Lead Performance Test Engineer

Cognizant; Santa Fe (NM); A distancia; USD 83.000 - 132.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

Cognizant is seeking a Lead Performance Test Engineer to lead and execute performance initiatives for complex enterprise and cloud-native applications. This hands-on role demands deep expertise in performance testing, automation, cloud platforms, observability, and resiliency.

You will collaborate across engineering teams to set performance standards, integrate automated gates into CI/CD, analyze bottlenecks, and drive scalability.

Formación

• At least 10 years hands-on experience in performance testing/engineering or non-functional testing for enterprise apps.
• Proficiency with NeoLoad or comparable enterprise performance testing tooling.

Responsabilidades

• Design and execute performance, load, stress, endurance, scalability, and capacity-testing strategies for enterprise apps, APIs, and cloud services.
• Build and maintain automated performance-testing frameworks using NeoLoad and custom solutions.
• Integrate performance testing into CI/CD pipelines using GitLab CI/CD or similar platforms.
• Analyze performance across application, database, infrastructure, network, and cloud layers to identify bottlenecks.
• Utilize AWS services and observability platforms to troubleshoot complex performance issues.
• Plan and execute Chaos Engineering and resiliency-testing to validate fault tolerance and recovery.
• Develop automation utilities with Python, Java, SQL, and scripting to boost testing efficiency.

Conocimientos

Performance testing

Performance engineering

Automation

CI/CD

Cloud platforms

Observability

Resiliency testing

Scripting

Herramientas

NeoLoad

AWS

Dynatrace

Grafana

Prometheus

Splunk

Elastic Stack

Kubernetes

Docker

Descripción del empleo

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.