Performance Quality Engineer

Responsibilities: Design and implement performance testing strategies and observability initiatives for a microservices-based SaaS platform on AWS. Identify system bottlenecks, define performance KPIs, and collaborate with cross-functional teams to ensure platform scalability and reliability.

Requirements: Requires 3+ years of experience in performance engineering for cloud-hosted SaaS platforms with proficiency in Python and performance tools like k6 or JMeter. Candidates must have strong analytical skills and experience with AWS, Kubernetes, and observability platforms.

Key skills: Performance Testing, AWS, Microservices, Python, K6, Gatling, Locust, JMeter, Prometheus, Grafana, Datadog, Kubernetes, Docker, CI/CD, Statistical Analysis, Capacity Forecasting

Keywords: Performance Engineering, SaaS, AWS, EC2, RDS, S3, ECS, EKS, Docker, Kubernetes, K6, Gatling, Locust, JMeter, Prometheus, Grafana, Datadog, ELK Stack, CloudWatch, Python, CI/CD, Microservices, Observability, Capacity Forecasting, Root Cause Analysis, Stress Testing, Regression Testing, KPIs, Scalability, Remote-First