Performance Engineer

Salesforce
2 Locations$149k – $224kPosted 27 March 2026

Job Description

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. The AI platform Perf Scale CTS team is currently seeking a Performance Engineer. If you’re fired up about software performance, automating everything, and working with great engineers, this is the job for you! If you are a developer who is passionate about performance, or a performance tester who is also interested in contributing to performance improvements, we would love to hear from you. Salesforce, the Customer Success Platform and the world's #1 CRM empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World's Most Innovative Company according to Forbes, and one of Fortune's 100 Best Companies to Work For fourteen years in a row. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us! Come and be a part of our AI Platform Performance Engineering team, where you can specialize in Salesforce's AI Platform! As part of the Salesforce Gen-AI initiative, you will help our customers make the most of AgentForce with state-of-the-art AI technology using Large Language, Toxicity, and PII models while collaborating closely with the team and cloud to implement performance and scale initiatives to support our ambitious plans for massive growth this year. Our team is known for being highly technical, friendly, and exceptionally collaborative. Join us for an exciting and rewarding experience! Our primary focus involves benchmarking the performance and scale of AI Platform, Gen AI models, CTS, and performance optimizations. You will have the opportunity to design performance experiments, and collect and analyze data. Develop power tools and automation frameworks for continuous integration, performance measurement and analysis. Contribute to the design and velocity of our global products. Optimize our systems end-to-end by advising infrastructure design, server and application development/tuning, solving complex cluster architecture and data storage challenges that impact features within Artificial Intelligence, Platforms, API’s and mobile UI experiences. Responsibilities The candidate must have the technical prowess to write fast and efficient code, find inefficiencies and influence others to make performance improvements. In addition, this engineer needs to measure and demonstrate performance gains in a scientific way, by building/running workloads or simulations. You are the performance expert for your scrum team or for a larger program, and should own your team’s performance related problems on production. Contribute to the team by applying modern technologies, design patterns, and Engineering Best Practices to deliver new projects for your team. Lead by example in continuously improving both the quality and productivity of your team's deliverables Apply knowledge of system health, customer usage, and scalability, and how th ... (truncated, view full listing at source)
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