Performance Engineer SMTS

Salesforce•Bellevue, WA

About The Position

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. We are seeking a highly motivated and skilled individual to join our team as a Software Engineering MTS. This role is an excellent opportunity for someone who is passionate about performance engineering and eager to contribute to a dynamic and growing organization. The ideal candidate will be responsible for delivering exceptional results through strong domain knowledge, expertise and unwavering integrity. Our team is responsible for the Salesforce Marketing Cloud Engagement, encompassing both first-party and public cloud environments. As our footprint expands in size and complexity, we must consistently provide extremely high performance and throughput to support our business today and accommodate the substantial scale anticipated in the near future.

Requirements

6+ years of experience in performance engineering, systems optimization, or backend/frontend diagnostics.
Strong understanding of React, JavaScript, microservices, and distributed systems in cloud environments.
Proficiency in performance fundamentals: Frontend: Browser rendering, JavaScript optimization, and network analysis. Backend: SQL performance analysis, query tuning, indexing, and caching strategies.
Hands-on experience with tools such as JMeter, Gatling, Chrome DevTools, YourKit, and Java Flight Recorder.
Scripting expertise in Python, Bash, or Node.js, with the ability to create automation tools and pipelines.
Familiarity with AI-driven tools or agents for performance monitoring, log analysis, or auto-diagnosis.
Ability to interpret performance data, pinpoint root causes, and clearly communicate findings.
Knowledge of data concepts related to relational databases and NoSQL stores.

Nice To Haves

Operating Systems architecture knowledge including security and programming interfaces.
Experience high throughput, low latency, and plant scale software design and architecture
Proven track record in performance design while engineering for scale in an enterprise environment
Experience with the Salesforce platform
Experience with monitoring solutions, such as - Prometheus, Grafana, or Splunk
Experience with public cloud development (e.g. AWS, GCP, Alibaba, and/or Azure platforms)
Knowledge of data platform services, such as MSSQL and MySQL

Responsibilities

Ensure high-performing and scalable Marketing experiences across both frontend and backend systems as a Performance Engineer for Marketing Cloud.
Collaborate with engineering teams on performance test plan design and execution, implementing meaningful metrics, and building dashboards reflecting real-world customer usage.
Develop and maintain automated benchmarks and performance regression reports to track improvements and identify issues across releases.
Troubleshoot performance bottlenecks in frontend (browser/UI), backend (APIs/services), and data layers, providing actionable insights and partnering with developers for resolution.
Conduct deep-dive diagnostics using various tools and profiling techniques to analyze system behavior, latency, and throughput.
Contribute to the development of internal performance tools, CI/CD integrations, and frameworks, including leveraging AI agents for enhanced automation, detection, and triage.
Document performance defects clearly when regressions occur and work with cross-functional teams to resolve them.
Promote the adoption of performance best practices by integrating performance considerations early in the development lifecycle.