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Performance Tester

Donyati -
Remote

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Job details

Full-time

Qualifications

CI/CD
Gradle
Kubernetes
Java
Bash (Unix shell)
Docker
Distributed systems
Terraform
Continuous integration
Maven
Python
Akka

Full 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).

EYLT9liOoa

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Refine Your Search

traffic engineer jobs in remote

Performance Tester

Big Data Engineer

Operational Engr Lead

Jira Administrator/Consultant

Senior Golang Engineer (Remote)

Principal Software Engineer

MERN Stack + Gen AI developer

Adobe Analytics Expert

Splunk Administrator/Developer-AppDynamics/Java/Python

Web Services Application Support Engineer

Big Data Analytics Engineer - Hadoop / Hive - Banking Domain

Senior Data Engineer - ETL/ Big Data/ Hadoop

Software Development Engineer III - Conversations

Software Development Engineer III - Custom Objects (Backend)

Sr. Engineer - Golang

PHP Developer - Intern

Splunk Administrator/Developer - AppDynamics/ Java/ Python

Big Data Developer (Python and Spark)

Engineering Manager - Conversations

Native iOS Developer

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