Big Data Platform & Distributed Systems (Senior/Lead/Principal)
Salesforce
🔍 Observed
67
Hiring Activity Score
Likely Active (65-79)
- Base score
- Posted 17 days ago
- has location, quality description (7144 chars)
- 6 skills
- High confidence (90%)
- Direct ATS (workday)
California - San Francisco
First seen 2 weeks, 3 days ago
Last seen 6 hours, 45 minutes ago
Workday
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Try Direct Link (may be expired)Job Description
AI Summary
• Design and operate large-scale data pipelines, observability systems, and distributed computing infrastructure across AWS/GCP and Kubernetes to support Salesforce's AI-driven platform at enterprise scale.
• Lead one of two critical teams: either Data Engineering & Observability (building telemetry and monitoring systems) or Data Cloud Big Data Compute (optimizing Spark workloads and AI infrastructure).
• Requires 7+ years backend development experience with strong distributed systems knowledge, Java expertise, and hands-on experience with big data technologies like Spark, Kafka, or Flink.
• Must have demonstrated success building/operating mission-critical production services and observability platforms, with proficiency in cloud platforms and Kubernetes orchestration.
• Join Salesforce's leadership team focused on next-generation data intelligence and agentic AI; candidates should apply to a maximum of 3 roles within 12 months.
Skills
go
kubernetes
aws
rust
java
python
Quick Actions
Job Information
-
Company:
Salesforce -
Location:
California - San Francisco -
Job Type:
Full-Time -
Experience Level:
Senior -
Source:
Workday -
Status:
Active
Activity Score
67
/100
Likely Active (67)
Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →
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