Description
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.
Knowledge of data concepts related to relational databases and NoSQL stores.
Excellent written and verbal communication skills.
Preferred Skills:
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 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
Experience with AI Tools to improve Development, Quality and Performance.
Experience programming languages (Java, Python, Go/Scala)
Database expertise (PostgreSQL, Redis, NoSQL)
Microservices architecture requirements
Security & compliance (STIG, CVE management)
Experience with DevOps, quality, and performance AI testing tools
Experience with Jmeter, Jest, Cypress, Playwright, React Testing Library
Experience with React, Angular, Vue.js, Svelte
SOAP/XML web services
LDAP/Active Directory integration
BONUS - MuleSoft/Salesforce Developer or Architect Certification
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.