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Software Engineering LMTS

Salesforce
San Francisco, United Statesfull_timeVerifiedPosted 17 Dec 2025
💰 $276,100/yr($167,300/yr$276,100/yr)

About the role

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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.

As a member of the Salesforce, Integration Cloud (MuleSoft) Team, you will use Agile methodologies to plan, coordinate, and lead software projects that result in delightful experiences for customers.


You are a deep thinker with a natural curiosity to learn our customers’ business and a dedicated advocate for great customer experience and world-class quality at scale in a complex modern microservices environment.  You will also have a strong analytical mindset and will drive actions at the right level to ensure that we can maximize engineering productivity while delivering a stable, secure, and performant experience to our customers.  Finally, you will be responsible for clear and courageous communication at all levels about the delivery risk and quality outlook of our products. 

Responsibilities:

  • Leverage your AI/ML skills for enabling Agentic workflows and Agentic vision. 

  • Be part of one or more development Scrum teams and own multiple features in their product area, including complex or highly ambiguous features with highest quality and performance. 

  • Develop a broader understanding of platform and applications and an in-depth understanding of product areas that their Scrum teams.

  • Become a “go-to” person on the scrum team for Functional and Performance understanding. Interface with customers to understand real-life usage and cross-functional aspects to develop and automate test plans for Critical User Journeys and End-to-End Scenarios, improve the customer performance reduce customer bugs and incidents and improve customer experience

  • Work closely with cross-functional teams across geographies and support Scrum teams to ensure thorough testing of Functionality and End-to-End scenarios and performance. 

  • Work closely with senior developers, PM, and UX to ensure features are delivered to meet business and quality requirements.

  • Troubleshoot production issues and develop test strategies to avoid these incidents.

  • Do the right thing, always, for our customers. 

  • Monitor product and feature-level quality health metrics (testability, test health, test coverage, etc.)

  • Be responsive to bugs and prioritize customer investigations.

Required Skills:

  • A related technical degree required.

  • 10+ years of experience in Development, performance and quality of very complex products with many micro services and dependencies. 

  • 2+ years of Experience of AI/ML Technologies - A2A and MCP protocols.

  • 5+ years of experience in quality/performance engineering, systems optimization, or backend/frontend diagnostics with a lot of microservices.

  • 5+ years of experience with microservices, and distributed systems in cloud environments Cloud & infrastructure skills (Kubernetes, Docker, AWS/GCP/Azure)

  • 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.

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Company

Salesforce

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