AI-Driven Quality & Performance Engineering Lead

salesforce.com, inc.; San Francisco (CA); On-site; USD 173,000 - 314,000; Full time

Job summary

Salesforce is seeking a Lead/Principal Engineer in Quality & Performance Excellence to drive AI-native testing and performance engineering. You will shape quality architecture, automate intelligent testing, and scale practices across teams to deliver faster, safer software.

You will lead cross-functional collaboration, build scalable QA frameworks, and champion data-driven quality across UI, APIs, and microservices using Java, Python, and TypeScript/JavaScript.

Qualifications

• 12+ years of software development, test automation, and performance engineering in enterprise SaaS or distributed systems.
• Proficiency in Java, Python, or TypeScript/Node.js.
• Hands-on with UI and API testing frameworks (Playwright, Selenium WebDriver, Cypress, RestAssured, Postman).
• Experience with load and performance tools (K6, JMeter, Locust) and observability tools (Grafana, Prometheus, New Relic, Splunk).
• Familiarity with AWS or GCP/Azure, Docker, Kubernetes, and CI/CD.

Responsibilities

• Drive quality strategy and engineering excellence by establishing usage models, test strategies, and quality gates early in architecture and development lifecycles.
• Design and evolve resilient architectures addressing functional, performance, scalability, reliability, and fault-tolerance challenges.
• Lead cross-functional technical triage to identify systemic flaw patterns and 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 automated regression, monitoring, alerting, and sanity testing into CI/CD pipelines and developer workflows.
• Architect scalable production-like test environments using Docker and Kubernetes with synthetic test data generation.
• Define and execute enterprise-scale performance strategies modelling high-concurrency workloads using JMeter, k6, and custom harnesses.
• Lead in-depth performance analysis across distributed systems to identify bottlenecks in microservices and multi-tenant platforms.
• Leverage AI and automation to transform quality and performance engineering into proactive, continuous intelligence.

Skills

Java

Python

TypeScript/Node.js

Education

BS in Computer Science or Software Engineering

Tools

Docker

Kubernetes

Playwright

Selenium WebDriver

Cypress

RestAssured

Postman

Grafana

Prometheus

New Relic

Splunk

JMeter

K6

Job description

Salesforce is seeking a Lead/Principal Engineer in Quality & Performance Excellence to drive AI-native testing and performance engineering. You will shape quality architecture, automate intelligent testing, and scale practices across teams to deliver faster, safer software.

You will lead cross-functional collaboration, build scalable QA frameworks, and champion data-driven quality across UI, APIs, and microservices using Java, Python, and TypeScript/JavaScript.