Job Description

Core Responsibility

Architect and lead enterprise-grade performance testing frameworks across multiple
distributed systems, APIs, SDKs, and service integrations.

Design, execute, and interpret performance, load, soak, and stress tests that simulate real
world concurrency and traffic behaviors.

Build reusable performance harnesses using modern tools such as JMeter, k6, Gatling,
Locust, or LoadRunner Enterprise, and integrate them into CI/CD pipelines.

Author and maintain the Performance Testing Runbook -- a detailed operational guide
covering environment setup, load profiles, KPIs, and performance sign-off criteria.

Instrument systems for observability, leveraging APM and monitoring tools (Datadog, New
Relic, Grafana, Prometheus, ELK, OpenTelemetry) to trace and correlate test results with

backend telemetry.

Perform deep-dive bottleneck analysis at every layer of the stack -- network, API, cache,
database, and compute -- identifying contention, saturation points, and tuning opportunities.

Work directly with backend, DevOps, and SRE teams to benchmark system capacity, analyze
regressions, and validate optimization hypotheses.

Integrate performance metrics into CI/CD, enforcing data-driven go/no-go gates and providing
clear visual reports on trend lines and performance drift.

Mentor and influence QA, automation, and infrastructure engineers in the art and science of performance engineering.

Required Technical Skills & Expertise

8+ years of hands-on experience in performance, load, and scalability testing for large-scale
or enterprise-grade systems.

Advanced proficiency with multiple performance testing tools, including: JMeter, k6, Gatling, LoadRunner Enterprise, Locust, NeoLoad, or BlazeMeter. Expertise in test scripting and automation using Python, JavaScript/TypeScript, or Groovy. Deep understanding of distributed architectures -- microservices, APIs, message queues,
and async processing.

Proficiency with profiling and analysis tools (YourKit, JProfiler, VisualVM, Chrome DevTools,
perf, flame graphs).

Proven ability to correlate and interpret metrics from APM platforms (Datadog, New Relic,
Dynatrace, AppDynamics) and system monitors (Grafana, Prometheus, CloudWatch).

Solid grasp of network and infrastructure fundamentals: TCP/IP, HTTP/2, CDN behavior,
caching, load balancing, and service mesh patterns.

Experience defining SLAs, SLOs, and performance baselines, and embedding them into
pipelines as measurable quality gates.

Strong analytical mindset -- able to turn high-volume telemetry data into clear narratives,
actionable insights, and capacity forecasts.

Git proficiency and familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or
CircleCI).

Job Types: Full-time, Permanent

Pay: RM4,624.92 - RM15,000.00 per month

Work Location: In person