Cloud Security Architect

Salesforce Salesforce · Enterprise · San Francisco, CA +6

Salesforce is seeking a Cloud Security Architect to design, implement, and maintain secure cloud environments, focusing on GCP and AWS. This role involves developing secure architectural blueprints, identifying and resolving systemic risks, and championing "Security by Design." The architect will leverage threat modeling, infrastructure as code, and AI-enabled automation to reduce tech debt and defend against modern threats. Responsibilities include defining security baselines, managing IAM, ensuring telemetry integration, leading threat modeling, conducting architecture reviews, and defining CI/CD security guardrails. Experience with AI-enabled security platforms and automation is required.

What you'd actually do

  1. Define foundational security baselines and design architectures that align with industry frameworks (NIST, CIS, ISO 27001) across multi-cloud environments, maintaining a primary focus on GCP alongside core baselines in AWS.
  2. Lead deep-dive threat modeling sessions across both product architectures and cloud infrastructure.
  3. Leverage AI-enabled security posture management tools to analyze security telemetry, scale the identification of systemic risks, and provide automated, actionable remediation guidance to developers.
  4. Define strict security guardrails (e.g., policy-as-code, Terraform linters) and partner with DevOps to drive their integration directly into the CI/CD pipeline, ensuring all resources are provisioned securely by default.
  5. Partner with Offensive Security, Threat & Vulnerability Management (TVM), and engineering leadership to continuously identify and prioritize complex vulnerabilities and architectural tech debt.

Skills

Required

  • 15+ years of progressive experience in cybersecurity, with significant time dedicated to Cloud Security Architecture or Senior Cloud Security Engineering.
  • Deep, demonstrable understanding of public cloud platforms with a primary focus on GCP and foundational knowledge of AWS, including native security services, complex IAM trust policies, and network perimeters.
  • Experience leveraging AI-enabled security platforms and automation strategies to scale risk identification and integrate security guardrails into engineering workflows
  • Proven track record of leading deep-dive threat modeling sessions and bridging the gap between product requirements and infrastructure implementation.
  • Strong proficiency with Infrastructure as Code (specifically Terraform) and securing containerized workloads (Kubernetes/GKE).
  • Deep knowledge of security frameworks (NIST, CIS, ISO 27001), compliance regulations, and modern cloud security best practices.

Nice to have

  • Strategic Influence: Ability to define security strategy for multiple business units and influence stakeholders from DevOps to the C-Suite.
  • Communication: Skilled at translating "security-speak" into actionable business logic for non-technical partners.
  • Analytical Rigor: A proactive problem-solver who doesn't just find holes but builds the patches and the processes to prevent them

What the JD emphasized

  • primary focus on GCP
  • AI-enabled security posture management tools
  • AI-enabled security platforms and automation strategies
  • deep-dive threat modeling sessions
  • Infrastructure as Code (specifically Terraform)