AI Quality & Performance Engineering Lead

Salesforce, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 173,000 - 345,000; Full time

Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce, Inc. in San Francisco is seeking a Lead/Principal Engineer in Quality & Performance Excellence to elevate how we test, measure, and optimize our AI-driven platforms.

You will define quality strategy, build scalable testing frameworks, and lead cross-functional triage to prevent performance bottlenecks. You will work with Java, Python, TypeScript, Docker, and Kubernetes to model high-concurrency workloads, embed quality into CI/CD, and leverage AI tooling to automate insights across

Qualifications

• 12+ years of experience in software development, test automation framework architecture, and performance engineering in enterprise-grade SaaS or distributed systems environments.

Responsibilities

• Drive quality strategy and engineering excellence by establishing customer usage models, comprehensive test strategies, and quality gates early in the architecture and development lifecycle.
• Design and evolve resilient architectures addressing performance, scalability, reliability, and fault tolerance across systems.
• Lead cross-functional technical triage to drive durable fixes across the development lifecycle.
• Architect and build scalable quality engineering frameworks spanning UI, REST/gRPC APIs, microservices, and end-to-end workflows using Java, Python, and TypeScript/JavaScript.
• Embed continuous quality into CI/CD pipelines with automated regression, monitoring, and testing.
• Create production-like test environments using Docker and Kubernetes, and generate synthetic test data.
• Define and execute enterprise-scale performance strategies modeling high-concurrency workloads using JMeter, k6, and performance harnesses.
• Perform deep-dive performance analyses across distributed systems to identify bottlenecks across microservices and multi-tenant platforms.
• Leverage AI and automation to transform quality and performance engineering into proactive, continuous engineering intelligence.

Skills

Java

Python

TypeScript/Node.js

Playwright

Selenium WebDriver

Cypress

RestAssured

Postman

Education

BS in Computer Science or Software Engineering

Tools

Docker

Kubernetes

CI/CD tools

AWS

GCP/Azure

Job description

Salesforce, Inc. in San Francisco is seeking a Lead/Principal Engineer in Quality & Performance Excellence to elevate how we test, measure, and optimize our AI-driven platforms.

You will define quality strategy, build scalable testing frameworks, and lead cross-functional triage to prevent performance bottlenecks. You will work with Java, Python, TypeScript, Docker, and Kubernetes to model high-concurrency workloads, embed quality into CI/CD, and leverage AI tooling to automate insights across