Senior Manager, Software Engineering - Cloud Platform

Salesforce Salesforce · Enterprise · New York, NY +1

Senior Manager for Cloud Platform Engineering at Salesforce, focusing on building and operating a highly available AWS-centric infrastructure. The role involves product ownership, strategic roadmap prioritization, stakeholder management (especially with Security/CISO), and people leadership. A key aspect is the strategic integration of AI agents and LLMs into GitOps workflows to automate infrastructure Pull Request analysis, accelerate approvals, and reduce manual effort, while ensuring compliance with strict security and NIST standards.

What you'd actually do

  1. Act as the ultimate product owner for the platform. You will prioritize the roadmap (e.g., expanding to new geographic regions, supporting new computer architectures) based on customer needs and business value.
  2. Own the relationship with the Security organization and the CISO, ensuring our platform's automated guardrails satisfy enterprise compliance requirements seamlessly.
  3. Hire, coach, and develop a LEAN, elite team SREs, Architects, and Security Automation Engineers, providing regular feedback and career guidance.
  4. Instill a "No Ticket-Ops" and "Shift-Left" philosophy where all tasks—from environment provisioning to incident response—are fully automated via CI/CD pipelines.
  5. Oversee the strategic integration of AI Agents and LLMs into the GitOps workflow to automatically analyze infrastructure Pull Requests, accelerating approvals and reducing human toil.

Skills

Required

  • 8+ years of AWS Cloud Infrastructure experience
  • 3+ years of direct people management
  • Deep expertise in AWS Multi-Account Strategy (Organizations, Control Tower, SCPs)
  • Expert proficiency in Infrastructure as Code (IaC) (Terraform or AWS CDK)
  • Proven experience operating an Enterprise Landing Zone or internal developer platform at scale
  • Strong understanding of AWS networking and security (VPC design, PrivateLink, Transit Gateway, secrets management)
  • Proven experience operating as a Product Owner for an enterprise-scale internal developer platform or cloud landing zone
  • Deep understanding of multi-account cloud strategies, centralized governance, and programmatic preventative guardrails
  • Proven track record of designing and operating mission-critical services with 99.999% uptime requirements, automated failover mechanisms, and active-active regional architectures
  • Strong understanding of modern, cloud-native security paradigms

Nice to have

  • AI Agents
  • LLMs
  • GitOps workflows
  • enterprise WorkOS (Slack)

What the JD emphasized

  • AI Agents and LLMs into the GitOps workflow
  • automated guardrails satisfy enterprise compliance requirements
  • NIST 800-53 R5 compliance standards
  • 99.999% availability standard

Other signals

  • AI agents integrated into GitOps workflows
  • AI agents analyze infrastructure Pull Requests
  • AI agents accelerate approvals
  • AI agents reduce human toil
  • AI agents used in enterprise WorkOS (Slack)