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Posted about 1 year ago

Job Category
Products and Technology

Job Details

The Einstein Platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning products - in days instead of months. The Einstein Platform augments the Salesforce Platform with the ability to easily create, deploy, and manage predictive applications across all clouds. We achieve this vision by providing unified, opinionated, configuration-driven, and fully orchestrated machine learning APIs and customer-facing declarative interfaces. We are already producing billions of predictions per day serving thousands of customers. We are looking for a Principal Architect to help us take us to the next level, and build a platform that scales to hundreds of thousands of customers, and hundreds of billions of predictions per day.

  • Own the end to end architecture of the Einstein Platform and build the technology for taking the Einstein Platform to hundreds of thousands of Salesforce customers, and hundreds of billions of predictions per day
  • Partner end-to-end with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production
  • Design multi-tenant RESTful services for low-latency scoring/inferences at scale, and training massive amounts of data
  • Build or leverage Orchestration systems for running hundreds of thousands of workflows in a self-healing manner
  • Develop compute and data infrastructure that ingests and transforms data from different sources and customers at scale in batch and real-time
  • Build large-scale data pipelines and computation systems that process massive amount of data on Spark and EMR
  • Build a Data Lake for supporting machine learning applications at Salesforce at scale
Core Qualifications
  • BS, MS, or PhD in computer science or a related field, or equivalent work experience
  • 15+ years of experience with hands-on, server side development
  • Track record of leading highly impactful large scale projects from conception to finish
  • Expertise in JVM based languages (Java, Scala)
  • Experience in building software on cloud platforms such as AWS or GCP
  • Experience building machine learning infrastructure at scale
  • Experience in microservices architecture, container management, service mesh, API gateways and tools like Kubernetes, Istio, Envoy, or Linkerd
  • Proven track record in building products on some production-grade big data systems such as Spark, Kafka, Storm, and Hadoop
Preferred Experience
  • Experience building and running real-time data applications in production
  • History of contributions to Hadoop, Spark, Storm, Hadoop, or similar open source projects
  • History of contributions to Kubernetes, Mesos, Istio, Envoy, or similar open source projects
Posting Statement and are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. and do not accept unsolicited headhunter and agency resumes. and will not pay fees to any third-party agency or company that does not have a signed agreement with or