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Performance Tester at Donyati. Location Information: .                                                                         . . Overview. We’re seeking a hands-on Performance Test Engineer to . design and execute the end-to-end performance strategy.  for an ad-serving platform (Akka-based Java microservices) targeting . <50ms.  response times and . 4–5 million concurrent requests/users. . You’ll build the test harness, model real-world traffic, execute large-scale distributed load tests, and turn findings into . actionable tuning guidance. . . Responsibilities:. Own the . performance test strategy & plan.  (load, stress, spike, soak, scalability, failover).. Model traffic for . ad-supported streaming.  (burstiness, fan-out, cache hit/miss, cold-start, geo distribution, p95/p99/p999).. Build . automated load frameworks & scripts.  (preferably . Locust/Python. ; . JMeter.  where appropriate). Parameterize data, correlations, and think-time.. Orchestrate . distributed load generation.  (cloud workers, containerized runners) to simulate . 4–5M concurrent.  at scale.. Integrate with . observability/APM.  (metrics, logs, traces) to correlate system bottlenecks across app, JVM/GC, Akka dispatchers, network, caches, and databases.. Produce . capacity models & SLAs/SLOs.  dashboards; run . performance gates.  in CI/CD.. Partner with DevOps & developers to recommend . tuning.  (thread pools, connection pools, GC, autoscaling, cache strategies, DB indexes/queries).. Document test design, scenarios, results, and . clear remediation plans. .. Technology Proficiency Needed:. Load tools. : . Locust (Python). , . JMeter. ; (nice to have: k6, Gatling).. Scripting & automation. : Python (core), Bash; infra spin-up via Terraform/Docker/Kubernetes for load farms.. Metrics/Tracing. : CloudWatch, OpenTelemetry, Prometheus/Grafana; log analysis pipelines.. Familiarity with . Java service.  behaviors (Maven/Gradle pipelines, JVM/GC basics); . Akka.  concepts are a plus.. What makes you a great fit. 3–5+ years in . performance engineering.  for . large-scale, low-latency.  distributed systems; streaming/ad-tech exposure is a plus.. Demonstrated success . hitting strict SLAs.  (p95/p99 latency) under millions of users/RPS.. Strong . Python.  and test-automation skills; ability to build maintainable, reusable test frameworks.. Experience designing . realistic workload models. , synthetic data generation, and . distributed.  load execution in cloud.. Analytical, communicates crisply with stakeholders, converts data into . prioritized recommendations. .. Logistics. Location. : Remote (prefer India candidates). Schedule. : Must join . US morning calls (Eastern Time).  as needed.. Start. : . 1–3 weeks.  from offer.. Term. : Through . end of January.  (likely extension)..