Cloud Systems Engineer - AI, Automation & Scale

Salesforce; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Salesforce is seeking a Software Engineer to join a global team delivering and supporting technology infrastructure for growth. You will lead projects to optimize services and build next-generation software for production environments, collaborating with Engineering teams to keep systems operational, scalable, and secure.

The role emphasizes automation, AI-based enhancements, and mentoring fellow engineers, with a strong focus on performance visibility and cost-effective orchestration.

Qualifications

• 3+ years of experience in a cloud native, enterprise environment.
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
• Track record of delivering impactful features in complex, fast-paced environments.
• Strong analytical skills and the ability to explain complex technical ideas clearly to both technical and non-technical audiences.

Responsibilities

• Drive efficiency: Identify and develop software solutions that improve operational efficiency and provide detailed visibility into performance metrics.
• Innovate with AI: Develop AI-based automation to reduce errors, increase system availability, and accelerate operational velocity.
• Build orchestration and automation: Enhance automation capabilities and develop orchestration tools to optimize system efficiency and cost-effectiveness.
• Design software: Design, develop, and test software with a focus on automation, scalability, and security, while mentoring other engineers.
• Support operations: Provide high-level support for Puppet and Oracle operational workflows.

Skills

Python

Go

Terraform

Education

Bachelor's or Master's in CS or related field

Tools

AWS

GCP

Kubernetes

Karpenter

Puppet

PostgreSQL

Oracle

Job description

Salesforce is seeking a Software Engineer to join a global team delivering and supporting technology infrastructure for growth. You will lead projects to optimize services and build next-generation software for production environments, collaborating with Engineering teams to keep systems operational, scalable, and secure.

The role emphasizes automation, AI-based enhancements, and mentoring fellow engineers, with a strong focus on performance visibility and cost-effective orchestration.