Job Title : QA Automation Lead- Perfomance Testing
Location : Remote
Duration : Full Time
Primary Skills
QA,New Relic,APIs,Databases,The client is looking for a senior,hands-on QA Automation Lead specialized in performance engineering who can both define strategy and execute at a deep technical level. They want someone with 7–10 years of QA experience (with at least 5 years in performance testing) who is highly pro,and capable of designing and running load,stress,and scalability tests for web apps and APIs. The ideal candidate should be able to analyze system architecture,identify bottlenecks across code,and infrastructure,and use observability/APM tools (Datadog,Dynatrace) for deep performance insights. They also expect experience integrating performance testing into CI/CD pipelines (performance gating),working with AWS and containerized environments (Docker/Kubernetes),and collaborating closely with Dev,and SRE teams. A strong focus is placed on automation,shift-left testing,capacity planning,and using AI to generate realistic test scenarios,along with excellent communication skills to translate performance findings into actionable improvements.
Job Description
About your role
As a QA Automation Lead for Performance testing at Juniper Square, you will define the performance engineering strategy for the organization. You will ensure our systems can handle hyper-growth and peak traffic events through proactive modeling, automated gating, and deep architectural analysis.
What you'll do
- Review functional and non-functional requirements, technical design documents, and provide meaningful feedback to identify performance risks early.
- Design, develop, and execute performance, load, and stress tests for web and backend systems.
- Use AI to analyze production traffic patterns and automatically generate representative performance scripts in Locust or JMeter that mirror real-world user behavior
- Build and maintain performance test scripts using Python, primarily leveraging Locust (tool-agnostic mindset, but Locust experience is a strong plus)
- Collaborate closely with development, QA, DevOps, and SRE teams to define performance benchmarks, SLAs, and acceptance criteria.
- Analyze test results to identify bottlenecks related to application code, APIs, databases, infrastructure, or third-party dependencies.
- Produce clear and actionable performance test reports, highlighting trends, risks, and recommendations for optimization.
- Integrate performance tests into CI/CD pipelines and support continuous performance testing practices.
- Monitor application performance during releases and contribute to capacity planning and scalability discussions.
- Lead performance engineering best practices and help shift performance testing left in the SDLC.
Qualifications
- Education: Bachelor's degree in Computer Science, or equivalent professional experience.
- Experience: 7-10 years in Software Quality Assurance, with at least 5 years focused on performance, load, stress, and endurance testing.
- Performance Testing: Strong hands-on experience designing and executing performance test strategies for web applications and APIs with an ability to read architectural diagrams and identify potential single points of failure.
- Programming Skills: Strong proficiency in Python, with the ability to write clean, maintainable, and scalable test code.
- Tools and Systems: Experience with performance testing tools such as Locust (preferred), JMeter, Gatling, or similar
- Metrics & Analysis: Solid understanding of performance metrics (response time, throughput, latency, error rates, resource utilization) and profiling techniques.
- APIs & Backend: Hands-on experience testing REST APIs and backend services under load.
- CI/CD : Experience designing and owning the Performance Gate in the CI/CD pipeline, ensuring automated performance regressions are caught before reaching production.
- Observability & Profiling: Advanced skills in using APM tools (e.g., Datadog, New Relic, or Dynatrace) and profiling tools to pinpoint code-level bottlenecks, memory leaks, and thread contention.
- Data Strategy: Experience managing large-scale, sanitized test data sets required for high-volume performance execution without skewing cache results.
- Infrastructure & Cloud: Deep experience with AWS infrastructure (EC2, Lambda, RDS, ELB), and containerization (Docker, Kubernetes)
- Test Process: Experience in performance test plans, scenarios, workload models, and test data strategies.
- Soft Skills: Excellent analytical and problem-solving abilities, attention to detail, and the ability to work independently within Agile development teams.
Communication: Clear written and verbal communication skills, with the ability to explain performance findings to both technical and non-technical stakeholders.
