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Salesforce

Builds cloud software for customer relationships

Lead Full Stack Security - Multiple Teams

Full-Stack EngineeringUpdated on Nov 11
Full-time$172.5k - $260.1k /yr

About the Job

Requirements

  • 10 to 12+ years of professional full stack software and systems engineering experience, including 3+ years in a Lead, Staff, or Principal Engineer capacity leading technical projects and distributed engineering teams.
  • A proven record of taking complex Software as a Service platforms or enterprise software projects from architectural inception to production delivery.
  • Ability to break down ambiguous business requirements into high-level architecture designs, concrete technical epics, and actionable execution plans.
  • Deep mastery of Python and Java, including enterprise frameworks such as FastAPI, Django, Flask, and Spring Boot, and microservice design patterns.
  • Advanced proficiency in modern JavaScript or TypeScript frameworks (React, Vue, or Angular), with experience designing scalable component libraries and complex data visualization dashboards.
  • Strong expertise in relational databases (PostgreSQL, MySQL), NoSQL and graph databases, distributed data processing, containerization (Docker, Kubernetes), and a public cloud platform (AWS, Azure, or GCP).
  • Working knowledge of NIST SP 800-53, ISO/IEC 27001, and SOC 2 Trust Services Criteria.
  • Direct experience building or architecting systems around continuous control monitoring, automated audit trails, or policy engine evaluation, such as OPA with the Rego language.
  • A demonstrated AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute beyond the candidate's core specialty.
  • Experience using AI tools, such as Claude Code, GitHub Copilot, Codex, and Cursor, in development workflows, along with a strategic vision for integrating AI into technical workflows.
  • Advanced prompt engineering skills, including the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
  • Bachelor's degree in Engineering, Computer Science, or a related discipline, or equivalent experience in technical roles.

Responsibilities

  • Take technical ownership of complex, multi-system initiatives, driving architectural decisions, technical specifications, phase planning, and execution across the delivery lifecycle.
  • Architect resilient, cloud-native microservice architectures that process large-scale compliance telemetry, support automated evidence ingestion, and run low-latency risk evaluation engines.
  • Partner with Product Management, Security Architects, and GRC leaders to translate business and regulatory strategies into detailed technical roadmaps, milestones, and sprint backlogs.
  • Establish engineering standards, perform high-impact code and architecture reviews, enforce secure coding guidelines, and set continuous integration and continuous delivery and testing benchmarks across the engineering organization.
  • Design and implement extensible Policy as Code and Compliance as Code engines, using Open Policy Agent or custom evaluation frameworks, along with runtime platforms such as Cloud Security Posture Management and Endpoint Detection and Response tools, that dynamically audit infrastructure and enterprise controls.
  • Constrain the outputs of AI coding assistants with declarative, machine-readable rules.
  • Lead the design of automated evidence collection pipelines that integrate with multi-cloud environments (Amazon Web Services, Microsoft Azure, and Google Cloud Platform), identity providers, enterprise security tools, continuous integration and continuous delivery pipelines, ticketing systems, and corporate productivity applications such as Workday and NetSuite.
  • Build dynamic risk analysis engines and auditing interfaces that map continuous technical evidence against regulatory standards, including National Institute of Standards and Technology Special Publication 800-53, International Organization for Standardization 27001, and System and Organization Controls 2.
  • Build and ship production-grade software using modern engineering practices, with AI as a core part of the development workflow, delivering secure, optimized, high-quality code.
  • Design and orchestrate complex systems where AI agents integrate into human workflows.
  • Contribute to building and maintaining shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
  • Critically evaluate human- or AI-generated code for correctness, quality, security, and performance.
  • Lead adoption and integration of AI coding assistants, such as Claude, Gemini, and OpenAI application programming interfaces, across the engineering lifecycle to improve productivity, automate test generation, and streamline refactoring.
  • Mentor senior and mid-level engineers across time zones.
  • Lead cross-functional alignment and technical discussions across a geographically dispersed team that works in an asynchronous-first culture.

Desired Qualifications

  • Experience architecting commercial GRC tools, Security Information and Event Management systems, or Cloud Security Posture Management systems.
  • Practical experience implementing Open Policy Agent or similar policy-as-code tools at scale.
  • Security certifications such as Certified Information Systems Security Professional, Certified Cloud Security Professional, or a cloud security specialty certification.
  • Experience with the Salesforce platform, including Lightning Web Components, Apex, and Salesforce Object Query Language.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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