Performance Architect - Performance Testing

Performance Architect - Performance Testing

Location : Plano, TX

Responsibilities:

• Design, develop, and execute performance and load testing strategies for containerized applications.

• Identify performance bottlenecks in applications, infrastructure, and container orchestration platforms.

• Analyze performance test results, provide detailed insights, and recommend actionable improvements.

• Collaborate with development, QA, and operations teams to integrate performance testing into the CI/CD pipeline.

• Develop and maintain performance testing frameworks and tools.

• Monitor application and system performance in production and pre-production environments.

• Stay current with emerging technologies and best practices in performance engineering and containerization.

• Contribute to the continuous improvement of performance testing processes and methodologies.

Required Skills and Qualifications:

• Containerization Technologies:

• Deep understanding of Docker, including container image creation, optimization, and management.

• Hands-on experience with container orchestration platforms such as Kubernetes.

• Familiarity with container networking concepts and best practices.

• Experience with container security best practices and vulnerability scanning.

• Chaos Engineering

• Mainframe Host Experience:

• CICS

• IMS

• DB2

• Performance Testing & Analysis:

• Proven experience in designing and executing performance, load, stress, and soak testing.

• Proficiency with performance testing tools such as JMeter, Gatling, K6, Artillery, or similar.

• Ability to analyze performance test results, identify root causes, and provide actionable recommendations.

• Experience in performance tuning and optimization of applications and infrastructure.

• Monitoring & Observability:

• Experience with Application Performance Monitoring (APM) tools (e.g., Dynatrace, New Relic, AppDynamics).

• Familiarity with observability platforms and tools (e.g., Prometheus, Grafana, Datadog, Splunk).

• Experience in collecting and analyzing metrics, logs, and traces for performance troubleshooting.

• Cloud Technologies

• AWS

• Lambda

• Software Development & DevOps:

• Strong programming or scripting skills (e.g., Python, Java, Go, Shell scripting).

• Understanding of CI/CD principles and experience integrating performance tests into pipelines.

• Familiarity with cloud-native architectures and microservices.

• Experience with version control systems (e.g., Git).

• Problem-Solving & Communication:

• Excellent analytical and problem-solving skills.

• Strong communication and collaboration skills, with the ability to explain technical concepts to diverse audiences.

• Ability to work independently and as part of a team.