Big Data Platform & Distributed Systems (mid/senior/lead/principal)

Salesforce

Base: $117,200 - $313,700 annually; bonus/equity: ...
Hybrid
Distributed systems design fundamentals
Large-scale data pipeline architecture
Spark performance optimization experience
This role offers the opportunity to work on mission-critical teams powering Salesforce's next-generation data-driven intelligence at extreme scale

Job Summary

  • This role offers the opportunity to work on mission-critical teams powering Salesforce's next-generation data-driven intelligence at extreme scale.
  • Candidates will be expected to leverage AI tools throughout their development workflow to deliver secure, optimized, and high-quality production code.
  • The position involves designing reliable telemetry pipelines and optimizing core Spark performance for large-scale computing workloads.

Matching Summary

This role offers the opportunity to work on mission-critical teams powering Salesforce's next-generation data-driven intelligence at extreme scale.

Salary

Base: $117,200 - $313,700 annually; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, parental leave, 401(k)

Skills & Requirements

Must-have

  • Distributed systems design fundamentals
  • Large-scale data pipeline architecture
  • Spark performance optimization experience
  • Observability and telemetry system building
  • Cloud infrastructure operations AWS GCP

Nice-to-have

  • AI-first engineering approach
  • Advanced prompt engineering skills
  • Experience with smaller language models
  • Java or similar backend development
  • Kubernetes orchestration expertise

Key Requirements

  • Strong understanding of scalability and fault tolerance
  • Experience operating enterprise-scale data platforms
  • Proficiency in metrics, logging, and monitoring

Work Rights

Not specified

Tailored Resume

Cover Letter