Remote Senior Performance Engineer - Cloud & Resiliency

Cognizant; Lansing (MI); Remote; USD 83,000 - 132,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus PTO

401(k) plan and contributions

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

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

You will collaborate with development, architecture, platform engineering, DevOps, and SRE teams to establish performance standards, implement automated gates, identify bottlenecks, and improve scalability and operational

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 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

Observability

Stakeholder management

Cloud concepts

Tools

NeoLoad

GitLab CI/CD

AWS Cloud

Kubernetes

Docker

OpenShift

Dynatrace

Splunk

Grafana

Prometheus

AppDynamics

Elastic Stack

Python

Java

SQL

Job description

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

You will collaborate with development, architecture, platform engineering, DevOps, and SRE teams to establish performance standards, implement automated gates, identify bottlenecks, and improve scalability and operational