Senior Lead Real-time Data Platform Software Engineer

Salesforce

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Salary
$172,500–$260,100 / yr
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live yesterday
Closes
Feb 22, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $216k
$103k $277k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $151,000–$214,000 — the blue band above. At the midpoint, this role pays about $216k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Senior Lead Real-time Data Platform Software Engineer

The Real-time Data Platform Software Engineer- Senior/Lead will join the team developing the Sales Intelligence Platform within Sales Cloud. This role involves architecting, developing, and operating a high-scale, low-latency platform designed for real-time ingestion and streaming pipelines. The engineer will build systems that process conversational data from voice, video, and email to power Sales Cloud AI agents for lead outreach and pipeline management. Key responsibilities include managing durable distributed systems and high-availability pipelines. Required technical skills include proficiency in Java, Go, Python, C++, or Ruby, along with experience in Flink, Spark, Storm, Cassandra, Zookeeper, and MongoDB. Candidates must demonstrate expertise in public cloud frameworks like AWS, GCP, or Azure, as well as container orchestration tools such as Docker and Kubernetes.

What you'll do

  • Architect, develop, and operate a high-scale, low-latency platform for real-time data ingestion and streaming.
  • Build big data high-availability pipelines using Flink to process voice, video, and email data.
  • Develop the Sales Intelligence Platform to power AI agents for lead outreach and pipeline management.
  • Design and implement durable distributed systems for large-scale, client-facing enterprise cloud environments.
  • Act as a CI/CD champion to uplift and mentor teams on automation best practices.
  • Manage and monitor mission-critical infrastructure, including logging, alerting, and reporting services.
  • Provision and automate cloud infrastructure using contemporary public cloud frameworks and tools like Terraform.
  • Mentor junior engineers to ensure technical excellence and meticulous attention to detail.

What we're looking for

  • Bachelor's degree in Computer Science is required; Master's degree is preferred.
  • Over 7+ years of experience architecting and managing durable distributed systems at scale for major enterprise cloud providers.
  • Proven track record in constructing high-availability, large-scale distributed architectures for client-facing environments.
  • Hands-on experience building big data high availability pipelines with Flink.
  • Demonstrated experience as a CI/CD champion with the ability to mentor teams in automation best practices.
  • Extensive knowledge of public cloud frameworks (AWS, GCP, or Azure) and high-performance backend infrastructure.
  • Proficiency in object-oriented programming with mastery in at least one language such as Java, Go, Python, C++, or Ruby.
  • Familiarity with infrastructure automation, cloud provisioning, and AI-assisted development methodologies.

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