Lead Distributed Systems Engineer In Activity Platform, Sales Intelligence Platform

SALESFORCE

Base: $164,000 - $260,100 annually; base: $196,800...
High-scale, low-latency platform
Real-time ingestion and streaming pipelines
Object-oriented design and principles
Salesforce is seeking engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud, responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines

Job Summary

  • Salesforce is seeking engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud, responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines.
  • The Sales Intelligence Platform (SIP) processes conversational data from voice, video, and email to power various Sales Cloud AI agents, providing tools for lead outreach and pipeline management.
  • Salesforce offers a comprehensive benefits package including time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.

Matching Summary

Salesforce is seeking engineers to develop the Sales Intelligence Platform (SIP) within Sales Cloud, responsible for the architecture, development, and operation of a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines.

Salary

Base: $164,000 - $260,100 annually; Base: $196,800 - $285,800 annually (select cities); Bonus/Equity: company bonus, incentive for sales roles, equity; Benefits: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), employee stock purchasing program

Skills & Requirements

Must-have

  • high-scale, low-latency platform
  • real-time ingestion and streaming pipelines
  • object-oriented design and principles
  • public cloud frameworks (AWS, GCP, Azure)
  • high-performance backend infrastructure
  • infrastructure automation
  • AI-assisted development methodologies

Nice-to-have

  • cross-functional collaboration and leadership
  • proactive mentorship of junior engineers
  • enterprise-grade, AI-driven sales solutions
  • message queuing technologies like Kafka
  • open-source ecosystems
  • container orchestration platforms
  • mission-critical infrastructure management

Key Requirements

  • 7+ years practical experience
  • B.S. in Computer Science
  • architecting, implementing, and managing distributed systems
  • high-availability, large-scale distributed architectures
  • mastery in Java, Go, Python, C++, or Ruby

Work Rights

Not specified

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