Lead/Principal Performance Engineer

Salesforce

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$172,500–$313,700 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $243k
$125k most similar roles pay here $334k

This role pays more than 91% of similar roles. Most pay $162,539–$213,135 — the shaded band above. At the midpoint, this role pays about $243k versus about $188k for comparable roles.

Based on 239 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 125 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 105 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Lead/Principal Performance Engineer

The Lead/Principal Performance Engineer at Salesforce is a senior technical leader responsible for driving innovation in high-scale automation frameworks and ensuring product reliability across multi-team projects. This role involves designing traffic models, establishing scale goals, and implementing sophisticated monitoring strategies while serving as an expert in database tuning and system optimization. Day-to-day responsibilities include rapid prototyping to address critical scale issues, coaching engineers at all levels, leading code reviews, and partnering with product managers to integrate performance metrics into project definitions. Ideal candidates have over a decade of experience building platforms and applications at massive scale, expertise in Java, Python, C, or Ruby on Rails, and a deep understanding of key performance metrics such as throughput, latency, memory, CPU, disk, and network. Additional skills include strong communication abilities and familiarity with distributed data systems like Apache Kafka and Cassandra.

What you'll do

  • Lead performance efforts by designing traffic models and establishing scale goals across multi-team projects.
  • Serve as a database tuning expert, driving design meetings with high-performance implementation proposals.
  • Build proofs of concept and lead research to address critical scale issues through rapid prototyping.
  • Coach engineers at all levels, conduct code reviews, and ensure performance is integral in product development.
  • Debug and resolve bottlenecks across key performance metrics including throughput, latency, memory, CPU, disk, and network.

What we're looking for

  • 10+ years of experience in software engineering with a focus on building platforms and applications at massive scale.
  • Expert-level proficiency in Java, JVM performance tuning, and GC mechanisms, plus hands-on automation development skills.
  • Deep understanding of key performance metrics (throughput, latency, memory, CPU, disk, network) and ability to debug bottlenecks.
  • Strong communication skills with experience in API design, concurrency, resource efficiency, and presenting technical findings.
  • Experience applying AI tools in automation or performance engineering contexts preferred.
  • Familiarity with distributed data and transport systems such as Apache Kafka, Cassandra, or Spark.

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