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Insight Global Quality Engineer - Performance/Scalability (INTL - Hyderabad India) - Nova Imports in Bentonville, Arkansas

Job Description

Responsibilities:

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

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and 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

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