AI-Driven Cloud Automation Engineer

Salesforce, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Dental plan

401(k)

Job summary

Salesforce, Inc. seeks a Software Engineer to join a global team delivering scalable infrastructure and next‑generation software. You will drive automation, optimize production environments, and collaborate with engineering to keep systems secure and cost-efficient.

The role emphasizes Python/Go/Terraform expertise, cloud platforms (AWS/GCP), Kubernetes, and databases (Oracle, Postgres) with a focus on reliability and scalability.

Qualifications

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

Responsibilities

• Drive efficiency by developing software solutions and measuring performance.
• Innovate with AI to reduce errors and improve availability.
• Build orchestration and automation to optimize cost and speed.
• Design scalable, secure software and mentor other engineers.
• Provide high-level support for Puppet and Oracle workflows.

Skills

Python

Go

Terraform

AWS

GCP

Kubernetes

Karpenter

Oracle

Postgres

Linux

Puppet

REST API design

Elasticsearch

Kibana

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Equivalent practical experience

Tools

Puppet

Elasticsearch

Kibana

Job description

Salesforce, Inc. seeks a Software Engineer to join a global team delivering scalable infrastructure and next‑generation software. You will drive automation, optimize production environments, and collaborate with engineering to keep systems secure and cost-efficient.

The role emphasizes Python/Go/Terraform expertise, cloud platforms (AWS/GCP), Kubernetes, and databases (Oracle, Postgres) with a focus on reliability and scalability.