Software Engineering PMTS

Salesforce

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Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $196k
$129k $273k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,550–$223,250.

Based on 240 similar postings.

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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 · Software Engineering PMTS

The Software Engineering PMTS joins the team responsible for the defensive security of the Salesforce Database, a production system encompassing storage, backup, and telemetry infrastructure. This role involves the design and hands-on implementation of security software to ensure compliance and protection against automated adversarial attacks. Key responsibilities include building static and dynamic analysis pipelines for vulnerability classes like SQL injection, applying ML for anomaly detection, and developing security guardrails for AI agents and LLMs. The candidate will utilize Python, Rust, and Go to ship automation for real-time detection and response. The work addresses the challenge of securing multi-tenant cloud environments against data exfiltration and privilege escalation, requiring expertise in distributed systems, threat modeling, and consistent security policy design across AWS and GCP platforms.

What you'll do

  • Design and implement security software to protect large-scale production database systems.
  • Build static and dynamic analysis pipelines to identify database vulnerabilities like SQL injection.
  • Apply machine learning models to detect data exfiltration and insider threats.
  • Develop security guardrails for AI agents and LLMs operating on production databases.
  • Ship automation for real-time detection and response to automated cyber attacks.
  • Drive vulnerability management and software composition analysis across the database platform.
  • Partner with database engineering teams to embed security into the platform from design to rollout.

What we're looking for

  • This role requires 10+ years of professional experience.
  • Deep understanding of database security, including multi-tenant isolation, access control, and data governance.
  • Experience leading threat modeling and architecture risk analysis for complex distributed database cloud environments.
  • Expert-level design of consistent security policies across AWS and GCP, including mitigating provider-specific edge cases.
  • Solid grasp of distributed systems and strong programming skills in Python, Rust, or Go.
  • Hands-on experience building or improving security detection and enforcement software for large-scale production database systems.
  • Track record of shipping and operating production software at scale, with a preference for direct delivery over writing specifications (preferred).
  • Experience with large-scale distributed databases or multi-tenant SaaS architectures (preferred).

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