Platform Engineer - AI Sandbox & Dev Environments

Global Gainsight Admins Community; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Paid Time Off

Medical Insurance

Dental Insurance

Vision Insurance

Mental Health Support

Paid Parental Leave

Life Insurance

Disability Insurance

401(k)

Employee Stock Purchase Program

Job summary

Global Gainsight Admins Community is looking for an experienced engineer to scale and operate AI sandbox infrastructure and remote development environments. The role emphasizes capacity planning, safe rollouts, image builds, and automation to improve efficiency and cost controls.

You will handle sandbox isolation, security, observability, on-call responsibilities, and automated fixes for production issues, using Go or Python and AWS-based tooling in a DevOps/Platform Engineering setting.

Qualifications

• Three years of experience building and operating production systems with infrastructure, SRE, DevOps, or platform engineering.
• Experience with on-call responsibilities and ownership mindset.
• Knowledge of AWS and infrastructure as code; ability to write Go or Python; familiarity with AI coding tools.

Responsibilities

• Scale and operate AI sandbox infrastructure and remote development environments.
• Perform capacity planning, safe rollouts, image builds, and infrastructure automation; implement cost controls.
• Improve sandbox isolation and security, build observability, participate in on-call rotations, and automate fixes to production issues.

Skills

On-Call Operations

Ownership

Tools

AWS

Terraform

Go

Python

Kubernetes

Linux

Networking

IAM

EC2

Job description

Global Gainsight Admins Community is looking for an experienced engineer to scale and operate AI sandbox infrastructure and remote development environments. The role emphasizes capacity planning, safe rollouts, image builds, and automation to improve efficiency and cost controls.

You will handle sandbox isolation, security, observability, on-call responsibilities, and automated fixes for production issues, using Go or Python and AWS-based tooling in a DevOps/Platform Engineering setting.