Performance Test Engineer

7 days ago

Bengaluru, Karnataka, India Disa Consulting Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Title: Performance Test Engineer . make sure consultant should be available for the calls in EST (Eastern) Hours.

Location: Remote

Contract: Jan End (Likely Extension)

Start: Immediate

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 45M 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.

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