Quality Engineer - Performance/Scalability (INTL...
Role details
Job location
Tech stack
Job description
Build performance scenarios for Import PO workflows including:
-Bulk PO creation (batch * group * child workflows)
-CDC flow throughput
-Mutation API write performance
-OpenSearch index/search latency
Identify bottlenecks across services, API Gateway, Cassandra layers, and Kafka pipelines
Design and execute failover + resiliency tests (node restart, pod eviction, consumer rebalancing)
Produce detailed performance reports with recommendations for tuning
Validate scalability under multi market load (CA, MX, CL, CAM)
Work with Engineering/SRE to implement optimizations and retest
Requirements
6-10 years experience with LoadRunner, JMeter, Gatling, Locust, or similar load testing tools
Ability to design load, stress, endurance, soak, and failover tests
Strong understanding of Kafka throughput, consumer lag, backpressure, and partition strategies
Experience profiling Cassandra read/write performance, compaction impact, and query optimization
Ability to interpret performance metrics from Grafana, Splunk, and distributed tracing tools
Experience building performance benchmarks aligned to SLAs (e.g., 100K records < 1 minute) Chaos Engineering tools (Gremlin, Litmus)
Automated performance testing in CI/CD
Prior experience with large scale retail or supply chain workloads