QA Automation Lead – Performance Testing
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Job Description
QA Automation Lead defining performance testing strategy for web applications and APIs at Juniper Square. Collaborating with engineering teams to ensure robust system performance amid growth.
Responsibilities:
- Define the performance engineering strategy for the organization.
- Ensure systems can handle hyper-growth and peak traffic events through modeling and automated gating.
- Review functional and non-functional requirements, technical design documents, and provide feedback to identify performance risks.
- Design, develop, and execute performance, load, and stress tests.
- Use AI to analyze production traffic patterns and generate performance scripts.
- Collaborate with development, QA, DevOps, and SRE teams to define performance benchmarks and SLAs.
- Analyze test results to identify bottlenecks and produce clear performance test reports.
- Integrate performance tests into CI/CD pipelines and support continuous performance testing practices.
- Monitor application performance during releases and contribute to capacity planning discussions.
- Lead performance engineering best practices and help shift performance testing left in the SDLC.
Requirements:
- Bachelor's degree in Computer Science or equivalent professional experience.
- 7-10 years in Software Quality Assurance, with at least 5 years focused on performance, load, stress, and endurance testing.
- Strong hands-on experience designing and executing performance test strategies for web applications and APIs.
- Strong proficiency in Python, with the ability to write clean, maintainable, and scalable test code.
- Experience with performance testing tools such as Locust (preferred), JMeter, Gatling, or similar.
- Solid understanding of performance metrics (response time, throughput, latency, error rates, resource utilization) and profiling techniques.
- Advanced skills in using APM tools (e.g., Datadog, New Relic, or Dynatrace).
- Deep experience with AWS infrastructure (EC2, Lambda, RDS, ELB), and containerization (Docker, Kubernetes).
Benefits:
- Health insurance
- Flexible work arrangements
- Professional development opportunities
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