Performance Engineer, Salesforce

• A related technical degree required
• 5+ years of experience in coding (Java /C++/ Python)
• 3+ years of development experience with TypeScript & JavaScript
• Deep understanding of web performance principles (e.g., critical rendering path, lazy loading, code splitting, caching)
• Expertise in NodeJS, React, HTML5, CSS, JSON, HTTP and Web Components standards
• Extensive experience with browser developer tools and performance profiling tools (e.g., Chrome DevTools)
• Strong technical problem solving, communication, and collaboration skills
• Intense curiosity and willingness to question

Desirable

• As a Software Engineer with a focus on performance, you will play a key role in our product’s success, influencing the architecture and optimizing the UI stack to improve page load time for delightful end user experience
• This role provides end-to-end opportunities, from the UI to the back-end services, to optimize every stage, from routing to storage to the underlying queries that power the analytics
• You will collaborate with members of various engineering groups, product, and customer success teams
• You will start with open-ended problems and deep dive into the service to root cause and fix the problem
• You will play an instrumental role in applying the web performance principles and driving performance roadmaps to deliver products of high performance quality while optimizing the cost to serve
• In the era of AI, you will build the next generation of AI infused tools that will provide agentic experience to solve performance problems
• In this role, you will contribute to areas including the design of experiments, system design for performance, data analysis and visualization, and end-to-end performance analysis
• Develop the next generation of AI based tools that provides agentic experience to solve performance problems
• Investigate performance anomalies to identify application performance, discover hotspots/bottlenecks, and collaborate closely with different engineering groups, SREs, and infrastructure teams to diagnose and resolve performance issues, providing data-driven recommendations
• Lead performance analysis, tuning, and optimization efforts for critical Tableau services and infrastructure components
• Define, design, and implement instrumentations to generate metrics which provide relevant system characteristics
• Proactively evaluate and adopt emerging technologies to boost performance
• Formulate methodologies for the evaluation of performance and scalability, grounded in the definition of representative customer workloads
• Communicate performance findings, analysis, and recommendations clearly and effectively to both technical and non-technical audiences, including leadership
• Participate in product design and lead product performance evaluations to solve software performance issues by resolving hotspots, optimizing code base performance (e.g. algorithm redesign), and reducing resource consumption etc