Performance Engineer - SMTS

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.

SMTS Performance Engineer, GCP As a Performance Engineer in the Hyperforce GCP organization working with the Agentforce Service team, you will be at the cutting edge of AI adoption in contact centers. Our main focus moving forward is the AI-informed transformation of enterprise service, providing significant opportunities to work on cutting-edge generative AI , including autonomous agents that can reason and act. A critical priority for this role is our multi-substrate expansion .

We are currently adding support for the GCP substrate for SCRT2 channels, which will offer customers greater choice and flexibility. You will be instrumental in these efforts and will be responsible for: Characterizing the performance of Agentforce Service specifically on a GCP substrate . Developing sophisticated tests for complex load simulations and comprehensive end-to-end automation across multiple hardware and software tiers.

Utilizing AI-powered analysis (such as LLM-driven JFR pipelines) to significantly reduce performance analysis time. Collaborating with cross-functional teams to provide product and automation expertise for patches, research projects, and capacity planning . Required Skills: Familiarity with the architecture and fundamentals of GCP infrastructure and a working knowledge of GCP architecture .

Strong knowledge of Java and SQL . Distinguished track record in performance engineering for technically demanding projects. Experience with performance testing, analysis, troubleshooting, and optimizing enterprise software at scale .

BS, MS, or PhD in Computer Science or equivalent work experience. Understanding of throughput, latency, memory/CPU utilization, JVM, and JIT. Knowledge of HTTP load generation software (e.g., JMeter, LoadRunner) and web technologies (AJAX, REST, JSON).

Desired Skills: 5+ years of experience working on multiple releases with short cycles (3-6 months). Experience with generative AI technologies , Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Familiarity with autonomous agent orchestration and AI-driven workflows.

Exposure to web/mobile performance testing and UI analysis. Knowledge of message queues (e.g., Apache Qpid, RabbitMQ) and clustering technologies. Familiarity with application servers (e.g., Jetty, Weblogic, JBoss).

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 . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process.

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