Tech Stack

Description

You will own performance observability, define meaningful metrics, and drive data-informed decisions about system behavior under load for a microservices-based SaaS platform. You'll collaborate with Platform Engineering, development teams, and product leadership to surface performance risks before they impact customers.

Requirements

• 3+ years of hands-on performance testing and analysis on microservices-based, cloud-hosted (AWS) SaaS platforms.
• Strong analytical skills with ability to move from symptoms to root cause.
• Background in statistical analysis: trend modeling, interpolation, extrapolation, and capacity forecasting.
• Working knowledge of AWS (EC2, RDS, S3, ECS/EKS), Docker, and Kubernetes.
• Experience with performance testing tools (k6, Gatling, Locust, JMeter, or equivalent) and observability platforms (Prometheus, Grafana, Datadog).

Responsibilities

• Design and create performance test suites for multiple product teams against a microservices-based SaaS platform on AWS.
• Operate and maintain production-like environments for performance analysis, diagnosis, and regression testing.
• Analyze application and infrastructure logs to identify, isolate, and root-cause performance degradations.
• Define, track, and report on performance KPIs (response times, throughput, error rates, resource utilization) and deliver trend analysis to leadership.
• Collaborate with Platform Engineering, DevX, SDET, and Product teams to prioritize and validate performance improvements.