H

Hubs.is

Builds shared AI agents and workflows for teams

Agentic Quality Automation Lead

Performance Testing +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of experience in quality assurance, including at least 2 years in a senior or lead capacity driving systemic quality initiatives.
  • A strong background in reliability, load testing, and performance profiling beyond functional quality assurance.
  • Proven experience building and scaling automated test frameworks, including performance and stress tests, integrated with continuous integration and continuous delivery pipelines.
  • Ability to read logs, monitor metrics, and collaborate with developers to diagnose root causes of performance or stability issues.
  • Skill in prioritizing risks, identifying failure modes, and recommending systemic fixes rather than one-off patches.
  • Experience integrating quality into automated or AI-driven development workflows throughout the development lifecycle.
  • Familiarity with GitHub, Datadog, k6, and Playwright or similar tools and frameworks.
  • Familiarity with metrics, dashboards, and alerting to monitor production health.
  • Experience ensuring consistent behavior across browsers, devices, and environments.
  • Ability to define and report quality key performance indicators such as defect escape rate, mean time to recovery, and test coverage.

Responsibilities

  • Develop and own frameworks for continuous quality within the automated, agentic software development pipeline, shifting quality left and making it self-sustaining.
  • Define a comprehensive quality assurance strategy focused on reliability, scalability, and performance; set quality metrics and lead continuous improvement.
  • Design and run tests that validate system uptime, load handling, latency, and degradation under stress to ensure the platform is ready for scale.
  • Build and evolve automation frameworks for regression, integration, and performance testing, integrated into continuous integration and continuous delivery pipelines.
  • Identify systemic risks, edge cases, and user-impacting issues, prioritizing those that matter for product reliability.
  • Execute targeted tests in areas not yet automated and collaborate with developers on internal code correctness and optimizations.
  • Validate consistent functionality and performance across different browsers, devices, and environments.
  • Log, triage, and manage issues, focusing on root cause analysis and prevention.
  • Build frameworks for measuring AI output quality and stability to ensure predictable behavior at scale.
  • Analyze outages, incidents, and escaped defects to strengthen system reliability and testing processes over time.
  • Advocate for quality as everyone's responsibility and mentor others on testing and reliability best practices.

About the Company

Hubs.is

Builds shared AI agents and workflows for teams

Hubs builds an AI platform where employees create agents and workflows from prompts, data sources and team knowledge, then share them across their organization. Finished solutions are published to shared spaces organized by topic, team or use case, so colleagues can find a proven tool, adapt it for their own region or client and build on it instead of starting over. Agents run on schedules or respond to events, producing briefings, quotes, competitor alerts and similar outputs without manual prompting. Businesses join as design partners, and Hubs staff work with their leaders to map processes and build working solutions on the platform. Hubs was founded in 2023.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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