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Urgent! Performance Tester Job Opening In India, India – Now Hiring Donyati

Performance Tester



Job description

                                                                         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).

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