- Company Name
- PCR Digital | B Corp™
- Job Title
- Performance Test Engineer
- Job Description
-
**Job title:** Performance Test Engineer
**Role Summary:** Design, build, and execute automated performance tests for high‑scale, low‑latency distributed video streaming services, ensuring sub‑50 ms latency under millions of simultaneous users.
**Expactations:**
- 3–5+ years in performance engineering for large‑scale distributed systems.
- Proven record of meeting p95/p99 latency SLAs with millions of RPS.
- Deep expertise in Python automation (Locust, JMeter).
- Strong analytical and documentation skills; ability to communicate findings clearly.
**Key Responsibilities:**
- Define and carry out load, stress, spike, soak, scalability, and fail‑over test plans.
- Model realistic streaming traffic (burstiness, fan‑out, cache behavior, geo distribution).
- Build and maintain automated load frameworks with data parameterization and correlation.
- Manage distributed load generation using container/Kubernetes workers to simulate millions of users.
- Collect and analyze performance metrics from CloudWatch, Prometheus, Grafana, and OpenTelemetry.
- Create SLA/SLO dashboards and integrate performance gates into CI/CD pipelines.
- Collaborate with developers and DevOps to tune JVM, Akka, thread pools, GC, caching, autoscaling, and database performance.
- Document test strategies, scenarios, results, and provide actionable tuning recommendations.
**Required Skills:**
- Python, Bash, and load‑testing tools (Locust, JMeter).
- Experience with distributed load generation and synthetic traffic modeling in the cloud.
- Knowledge of streaming video/advertising domain and high‑concurrency challenges.
- Familiarity with Akka‑based Java microservices architecture.
- Observability tools: CloudWatch, Prometheus, Grafana, OpenTelemetry.
- Containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform) knowledge.
- Strong written and verbal communication.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent industry experience).