Lead Performance Test Engineer

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, Dev Ops, and Site Reliability Engineering teams to establish performance standards, implement automated quality gates, identify system bottlenecks, and improve application scalability and operational readiness.

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 Neo Load and custom performance engineering solutions.

Integrate performance testing into CI/CD pipelines using Git Lab 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 Cloud Watch, 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.

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.

At least 10 years of hands-on experience in performance testing
, performance engineering
, or non-functional testing for enterprise applications.

Hands-on expertise with Neo Load 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 Git Lab 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 Cloud Watch.

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, App Dynamics, Splunk, Grafana, Prometheus, or Elastic Stack
.

Experience working with containerized environments and orchestration platforms such as Kubernetes, Docker, Open Shift, 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.