Performance Engineer SMTS

Salesforce
California - San Francisco$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. Be a part of the high powered engineering team that is trusted with the performance and scalability of the world's most advanced and smartest enterprise cloud architecture. Salesforce has moved into the era of billions of transactions per day, and pushing the limits of our performance and scalability has never been more important. The Salesforce Sales Cloud engineering team is seeking an outstanding engineer to drive our performance and scalability initiatives with a keen interest in innovating with AI capabilities. This work is critical to ensure Salesforce can sustain the tremendous growth we have seen in our transactions and data volumes along with Agentforce AI capabilities. Are you an application and/or database expert, passionate about exploring AI capabilities for optimizing our applications and database technology to support this staggering growth and innovation? Join the teams that have delivered game changing technology to support the performance and scalability of Sales Cloud products and applications. You will need deep experience with application/database internals, proficiency in solving real-world data management challenges in high scale systems, and proven ability to design, develop, and optimize the critical data processing systems. Required Skills & Experience 7 years of development experience, with at least 5 years of experience in optimizing large scale applications and databases . Strong knowledge o f structured and unstructured database fundamentals, design, architecture, performance and scalability A mastery of a programming languages (e.g. Java, C) and strong Object-Oriented programming skills with focus on optimizations, design patterns and best practices for performance and scalability. Strong knowledge and experience with optimizing queries on Oracle or similar relational databases Familiar with AI/LLM Models and GPU’s Familiar with generative-AI technologies and agentic frameworks Development experience with PL/SQL, SQL, Oracle, or other database technologies Strong understanding of schema design and SQL development Strong experience with IAAS (AWS or GCP). Major points for familiarity with multi-tenant architecture. A proven track record of optimization and design improvements for performance and scalability. Hands-on experience with JavaScript ,CSS, JS frameworks and Browser Internals Experience performance profiling and optimizing JavaScript & CSS and also  detecting and fixing JavaScript memory leaks. Expertise with Selenium webdriver for UI automation Outstanding attention to detail and strong communication skills Extra credit if you have in-depth and clear understanding of performance engineering concepts, methodologies, tools, metrics and analysis. A related technical degree required. Desired Skills & Experience Experience and knowledge of structured and unstructured databases. Java feature development experience Experience developing frameworks and tools for performance measurement and analysis. You will need this ability to validate your optimizations. Comprehensive knowledge of the linux operating system, especially process and system monitoring facilit ... (truncated, view full listing at source)
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