AI-First Cloud Development Platform Engineer

Salesforce, Inc.

San Francisco (CA)

Hybrid

USD 117,200 - 176,700

Full time

14 days+

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Job summary

Salesforce is seeking a Cloud Development Environment Engineer in California’s San Francisco area to design and build AI-enabled developer platforms and scalable cloud infrastructure. You’ll embed AI into development workflows, optimize agent orchestration, and drive adoption of AI tools across engineering teams.

The role emphasizes high-quality, secure code, strong collaboration, and familiarity with AWS, GCP, or Azure, Docker, Kubernetes, and modern CI/CD practices.

Qualifications

  • 5+ years of software engineering experience.
  • Proficiency in high level languages: Java, Go, Python, JavaScript or TypeScript.
  • Strong cloud experience: AWS, GCP or Azure.
  • Container technologies Docker and Kubernetes.
  • Experience with development workflows and CI/CD pipelines.
  • Familiarity with agile methodologies (Scrum, Kanban).

Responsibilities

  • Design and orchestrate AI-augmented developer platforms and end-to-end developer workflows.
  • Architect, develop, and implement core platform components integrating with AI models.
  • Proactively identify bottlenecks and improve AI agent capabilities through structured prompts and system context.
  • Validate AI outputs for security, performance, and architectural compliance.
  • Build scalable, resilient cloud infrastructure for AI agents and CI/CD frameworks.
  • Champion AI tools adoption to accelerate developer productivity.

Skills

Java
Go
JavaScript
Python
TypeScript
AWS
GCP
Azure
Docker
Kubernetes
CI/CD
Agile

Tools

Docker
Kubernetes

Job description

Salesforce is seeking a Cloud Development Environment Engineer in California’s San Francisco area to design and build AI-enabled developer platforms and scalable cloud infrastructure. You’ll embed AI into development workflows, optimize agent orchestration, and drive adoption of AI tools across engineering teams.

The role emphasizes high-quality, secure code, strong collaboration, and familiarity with AWS, GCP, or Azure, Docker, Kubernetes, and modern CI/CD practices.

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