AI-Driven Quality & Reliability Engineer

MrBeast; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive Salary

Medical, Dental, Vision insurance

Company-paid Life Insurance

HSA contributions

401k with company match

Flexible vacation policy

Company-provided technology

Relocation assistance

Job summary

Beast Industries is seeking an AI-native QA Engineer to build and maintain automated test suites for a consumer-facing platform. You will focus on coverage, reliability, and speed across mobile and backend surfaces, and integrate quality gates into CI/CD pipelines to ensure only quality code reaches production.

The role emphasizes monitoring production systems, incident response, and root-cause fixes, with collaboration across engineers to embed quality thinking throughout development.

Qualifications

• 2+ years of hands-on experience building and maintaining automated test infrastructure for consumer-facing mobile or web products.
• Hands-on experience with test automation frameworks and CI/CD pipelines.
• Familiarity with observability or monitoring tools and AI-assisted QA approaches.

Responsibilities

• Build and maintain automated test suites across mobile and backend surfaces with emphasis on coverage, reliability, and speed.
• Integrate quality gates into CI/CD pipelines to block bad code from production.
• Monitor production systems, contribute to incident response, and implement root-cause fixes.
• Collaborate with engineers to embed quality thinking into the development process.

Skills

Test automation

CI/CD

Monitoring

AI-assisted QA

Tools

Playwright

Appium

Espresso

XCTest

Job description

Beast Industries is seeking an AI-native QA Engineer to build and maintain automated test suites for a consumer-facing platform. You will focus on coverage, reliability, and speed across mobile and backend surfaces, and integrate quality gates into CI/CD pipelines to ensure only quality code reaches production.

The role emphasizes monitoring production systems, incident response, and root-cause fixes, with collaboration across engineers to embed quality thinking throughout development.