Software Engineering PMTS

Salesforce
San Francisco
Workplace: HybridFull timeUSD 197,300 - 313,700 annuallyFunction: Software EngineeringExperience: 10+ yearsSkills: ["Threat modeling","Architecture risk analysis","Secure design","Communication","Stakeholder alignment"]

Build and implement security software to keep Salesforce Database secure and compliant at production scale. Design detection and enforcement for large-scale multi-tenant database systems, create static/dynamic vulnerability analysis pipelines (e.g., SQL injection and access control issues), and apply ML for anomaly and exfiltration detection. Ship real-time detection and response automation, strengthen guardrails for AI agents and LLMs, and drive vulnerability management across the platform while partnering with database engineering teams.

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FursaFursa
Salesforce
Salesforce
3 days ago

Software Engineering PMTS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Build and implement security software to keep Salesforce Database secure and compliant at production scale. Design detection and enforcement for large-scale multi-tenant database systems, create static/dynamic vulnerability analysis pipelines (e.g., SQL injection and access control issues), and apply ML for anomaly and exfiltration detection. Ship real-time detection and response automation, strengthen guardrails for AI agents and LLMs, and drive vulnerability management across the platform while partnering with database engineering teams.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement security detection and enforcement for large-scale production database systems.
  • •Build static and dynamic analysis pipelines for database vulnerability classes (e.g., SQL injection, privilege escalation, broken access control, tenant isolation breaches).
  • •Apply machine learning for anomaly detection, including data exfiltration, insider threat, and unusual access patterns.
  • •Create security guardrails for AI agents and LLMs operating on production databases (least-privilege configuration, scoped API access, sandbox isolation, and runtime behavioral monitoring).
  • •Drive vulnerability management and software composition analysis across the database platform and partner with database engineering teams through design review and rollout.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually
Perks:MedicalDentalVisionHealth InsurancePaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •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 provider-specific edge cases.
  • •Solid grasp of distributed systems and strong programming skills (Python, Rust, Go).
  • •Hands-on experience shipping security detection/enforcement software and operating production systems at scale.
Experience:10+ yearsSecurityDatabase securityDistributed systemsMulti-tenant SaaSCloudProduction software
Skills:Threat modelingArchitecture risk analysisSecure designCommunicationStakeholder alignment
Tech Stack:PythonRustGoAWSGCPSQL injectionStatic analysisDynamic analysisMachine learningAnomaly detectionDistributed systemsLLMsAI agentsReal-time detection

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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