HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
201-500
Founded 2018
$60M raised

Description

  • Define performance baselines, including SLIs, SLOs, latency, throughput, error-rate targets, and production-informed workload models.
  • Build shared performance-testing frameworks and production-like Kubernetes and cloud test environments for product teams.
  • Evaluate new performance-testing tools through proofs of concept.
  • Automate performance regression testing in CI/CD pipelines and produce trend reports to identify issues before release.
  • Conduct load, stress, soak, and spike testing and support capacity planning for peak events.
  • Investigate performance bottlenecks across API, database, queue, and frontend layers using traces, metrics, logs, and profiling.
  • Translate performance findings into actionable engineering recommendations and influence technical decisions.
  • Partner with development, DevOps, and infrastructure teams to resolve performance issues.
  • Mentor junior team members and strengthen performance-engineering practices across the team.

Requirements

  • 5+ years of experience in performance, scalability, reliability engineering, or testing, including resolving bottlenecks in production-scale systems.
  • Hands-on experience with k6, Gatling, or Locust, including realistic workload modeling and distributed load generation.
  • Strong programming skills in Python, JavaScript/TypeScript, or Java.
  • Experience using observability tools such as New Relic, Prometheus/Grafana, or OpenTelemetry to diagnose API, database, and queue performance issues.
  • Solid understanding of REST service performance, concurrency, caching, distributed systems, microservices, rate limiting, and common performance bottlenecks.
  • Experience integrating performance tests into CI/CD pipelines with pass/fail thresholds.
  • Working knowledge of Kubernetes and at least one major cloud platform: GCP, AWS, or Azure.
  • Experience with JVM or Node.js runtime profiling, thread or heap analysis, GC behavior, or event-loop lag (preferred).
  • Frontend performance experience with Core Web Vitals, Lighthouse, or real-user monitoring (preferred).
  • Experience with AI-assisted testing tools, NoSQL or search datastores, message brokers, chaos/resilience testing, or safe production testing practices (preferred).

Interested in this position?

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