Software Engineering Smts - Cloud Reliability

Salesforce Salesforce · Enterprise · New York, NY +1

Salesforce is seeking a Senior Member of Technical Staff (SMTS) - Site Reliability Engineer (Cloud Automation) to build and operate mission-critical infrastructure. The role focuses on creating automated provisioning workflows, Infrastructure-as-Code modules, and integrating security scanning and cost-estimation checks into CI/CD pipelines. The engineer will also implement failover mechanisms and develop integrations for real-time operational intelligence.

What you'd actually do

  1. Build, maintain, and scale the automated provisioning workflows that orchestrate the creation of new, fully governed multi-account cloud environments.
  2. Author, test, and maintain a library of pre-approved Infrastructure-as-Code templates that internal developers will consume. Ensure these modules enforce our strictest standards by default.
  3. Partner with the enterprise CI/CD team to plug our platform's automated security scanning, Policy-as-Code evaluations, and cost-estimation checks directly into the developer's Pull Request process.
  4. Implement data-plane-driven automated failover mechanisms, and develop integrations that connect our provisioning tools to our enterprise WorkOS (Slack) for real-time operational intelligence.

Skills

Required

  • 7+ years of software engineering or Site Reliability Engineering experience in large-scale cloud environments.
  • Expert-level proficiency in Infrastructure-as-Code (strictly Terraform) and managing state in highly distributed architectures.
  • Strong programming skills in Python, Go, or similar languages used for building automation tooling and API integrations.
  • Proven experience operating multi-region, active-active cloud environments and implementing automated disaster recovery tests.
  • Deep understanding of GitOps workflows and integrating infrastructure guardrails into existing enterprise CI/CD pipelines.

Nice to have

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience

What the JD emphasized

  • Expert-level proficiency in Infrastructure-as-Code (strictly Terraform)
  • Deep understanding of GitOps workflows
  • AI agents