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From the employer's careers site First seen 24 Oct 2026

Real-time Data Platform Software Engineer- Senior/Lead

Salesforce San Francisco, California Remote senior full-time

The employer hasn't listed a salary.

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Description

Salesforce is seeking a Real-time Data Platform Software Engineer- Senior/Lead to develop the Sales Intelligence Platform (SIP) within Sales Cloud. The SIP processes conversational data from voice, video, and email to power various Sales Cloud AI agents, providing tools for lead outreach and pipeline management.

Responsibilities:

  • Architect, develop, and operate a high-scale, low-latency platform that manages real-time ingestion and streaming pipelines.
  • Construct high-availability, large-scale distributed architectures for client-facing environments.
  • Build big data high availability pipelines with Flink.
  • Act as a CI/CD champion, uplifting and mentoring teams in best practices and automation.
  • Collaborate cross-functionally and lead teams.

Requirements:

  • Degree in Computer Science (B.S. required, M.S. preferred).
  • Over 7+ years of practical experience architecting, implementing, and managing durable distributed systems at scale.
  • Proven track record in constructing high-availability, large-scale distributed architectures.
  • Hands-on experience with building big data high availability pipelines with Flink.
  • Demonstrated experience acting as a CI/CD champion.
  • Extensive knowledge of contemporary public cloud frameworks.
  • Proficiency in object-oriented programming with mastery in at least one language.
  • Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies.
  • Strong interpersonal and professional communication skills.

Benefits:

  • Unleash your potential with Salesforce, limitless in all areas of your life.
  • Benefits and resources support finding balance and being your best.

Skills

Required

Nice to have

  • low-latency data ingestion pipelines
  • AI-driven sales solutions
  • distributed real-time streaming systems
  • message queuing technologies
  • open-source ecosystems
  • Java
  • Spring
  • microservices
  • REST APIs
  • deployment architectures
  • CI/CD tools
  • container orchestration platforms
  • NoSQL and SQL databases
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