Software Engineering Lead/Principal - AI Tooling & Automation

About this role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Software Engineering Job Details

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As a Lead/Principal Engineer in Quality & Performance Excellence, you will operate at the intersection of quality architecture, intelligent test automation, performance engineering, and engineering excellence. You will drive AI-native engineering practices by establishing and scaling industry-leading approaches to quality, performance, reliability, and delivery across the organization. You will enable engineering teams to deliver faster, safer, and more reliable customer outcomes through engineering standards, intelligent automation, quality governance, and continuous innovation. In this role, you will work across engineering and product to shape how teams design, build, validate, and deliver software. You will leverage AI, intelligent automation, engineering rigor, and data-driven insights to accelerate delivery while continuously raising the bar for quality, reliability, scalability, and performance.

Key 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 technical architectures that address complex functional, performance, scalability, reliability, and fault-tolerance challenges across systems.

• Lead complex, cross-functional technical triage by identifying systemic and architectural flaw patterns and driving durable fixes across the Agentic Development Lifecycle (ADLC).

• 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 the software delivery lifecycle by integrating automated regression, monitoring, alerting, and sanity testing into modern CI/CD pipelines and developer workflows.

• Architect scalable, production-like test environments using containerization and orchestration technologies such as Docker and Kubernetes, along with synthetic test-data generation capabilities.

• Define and execute enterprise-scale performance strategies that model high-concurrency, customer workloads using JMeter, k6, and custom performance harnesses.

• Lead deep-dive performance analysis across distributed systems by analyzing CPU, memory, database, network, and execution-profiling metrics to identify bottlenecks and systemic performance issues across microservices and multi-tenant platform

• Leverage AI and intelligent automation to transform quality and performance engineering from reactive validation into proactive, continuous engineering intelligence across the development lifecycle.

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

• Strong coding skills in at least one modern language: Java, Python, or TypeScript/Node.js.

• Hands-on experience with modern UI and API testing frameworks (e.g., Playwright, Selenium WebDriver, Cypress, RestAssured, Postman).

• Deep expertise with load and performance tools such as K6, JMeter, or Locust, alongside APM and observability tools like Grafana, Prometheus, New Relic, or Splunk.

• Familiarity with AWS (or GCP/Azure), containerization (Docker), orchestration (Kubernetes), and CI/CD tools.

• BS or MS in Computer Science, Software Engineering, or equivalent practical experience.

Preferred / Nice-to-Have Skills • Salesforce Ecosystem: Prior experience with Apex, Lightning Web Components (LWC), Data Cloud, or Agentforce ecosystem testing.

• AI-Driven Workflows: Experience utilizing AI coding/testing assistants (e.g., Claude Code, GitHub Copilot, Cursor) or testing LLM/RAG pipelines.

• Database Optimization: Strong understanding of SQL query tuning, indexing strategies, and relational/NoSQL database performance behavior.

• Ability to support and resolve complex customer escalations through deep technical debugging, root-cause analysis, and effective cross-functional collaboration.

Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and   be your best , and our AI agents accelerate your impact so you can   do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

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