Performance Quality Engineer
Core
Own performance observability, define meaningful metrics, and drive data-informed decisions about system behavior under load for a microservices-based SaaS platform.
Role type
Performance Quality Engineer
Builds
Production-like environments for performance analysis, diagnosis, and regression testing for a professional business platform serving legal, accounting, and client-focused professionals.
Domain
Financial technology / Professional services
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Performance testing and analysis on microservices-based cloud platforms, Statistical analysis (trend modeling, capacity forecasting), AWS (EC2, RDS, S3, ECS/EKS), Docker, Kubernetes, Performance testing tools (k6, Gatling, Locust, JMeter), Observability platforms (Prometheus, Grafana, Datadog), Log aggregation (ELK Stack, CloudWatch), Python scripting
Preferred skills
AI tools and technologies for workflow improvement
Technologies
k6, Gatling, Locust, JMeter, Prometheus, Grafana, Datadog, ELK Stack, CloudWatch, Python
Responsibilities
Design and create performance test suites for multiple product teams, Operate and maintain production-like environments for performance analysis, Analyze application and infrastructure logs to identify and root-cause performance degradations, Define, track, and report on performance KPIs and deliver trend analysis, Use usage and trend data to identify capacity risks, Collaborate with Platform Engineering, DevX, SDET, and Product teams to prioritize performance improvements, Partner with Security QE to integrate security-informed scenarios into performance test plans, Identify and define nonfunctional performance tests for CI/CD pipeline gates
Seniority
Mid-level, hands-on IC
