Lead Member of Technical Staff, Salesforce

• 7+ years of experience in performance engineering, backend development, or systems optimization
• Deep expertise in Java/J2EE, microservices architecture, distributed systems, and cloud-native platforms
• Strong understanding of data persistence layers, including SQL tuning, indexing strategies, and query optimization
• Demonstrated success using load generation and profiling tools (e.g., JMeter, Gatling, YourKit, Java Flight Recorder, etc.)
• Skilled in identifying CPU/memory contention, latency issues, and code-level inefficiencies through deep diagnostics and tooling
• Proficiency with at least one scripting language (e.g., Python, Ruby, Bash) and comfort building automation tools or CI integrations
• Ability to interpret performance test data scientifically and articulate findings clearly to engineering and leadership audiences
• Comfortable with O(n) complexity analysis, concurrency design, and debugging in production-like environments
• Bachelor’s degree in Computer Science or related technical field (or equivalent experience)
• If you’re passionate about optimizing large-scale distributed systems, collaborating across product teams, and building a performance-first culture—this role is for you

Desirable

• Join the Salesforce Commerce Performance Engineering team—an elite group focused on delivering blazing-fast, scalable commerce experiences across our platform
• As a key member of the team, you’ll specialize in Order Management System (OMS) performance, with additional opportunities to support performance efforts across Checkout, Payments, and other core product areas
• Serve as the performance lead for the Order Management product, advising on best practices and reviewing architecture and implementation for performance risks
• Collaborate with engineering teams to design and implement meaningful performance tests, metrics, and dashboards that reflect real customer use cases
• Develop automated performance benchmarks and release-over-release differential reports to help teams track regressions and optimizations
• Partner with developers to identify and resolve performance bottlenecks, contributing fixes and guidance as needed
• Drive creation of critical bug reports when regressions are identified, and support follow-through to resolution
• Lead technical deep dives across backend services, data layers, and APIs to analyze latency, throughput, and system efficiency
• Contribute to performance tooling, automation frameworks, and continuous performance integration pipelines
• Champion a performance-first mindset across teams by embedding performance considerations into design and development processes