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Remote Site Reliability Engineer Intern Jobs in California

Site Reliability Engineer

Irvine, CA · Remote

$85K - $192K/yr

Ford is seeking an experienced and passionate Site Reliability Engineer (SRE) to join our team in ... Remote #LI-DS2 - Write, configure, and deploy code in Go and Javascript that improves service ...

Senior Site Reliability Engineer

Norfolk, VA · Remote

$55.25 - $73.25/hr

This is a remote, contract opportunity for a project Arctiq is delivering for a client. Candidates ... The Senior Site Reliability Engineer is a technical leader responsible for architecting the ...

Site Reliability Engineer

Palo Alto, CA · On-site +1

$165K - $190K/yr

About the DevOps / SRE Team The DevOps/SRE team at Obsidian ensures that engineering excellence translates into stable, scalable, and high-performing production systems. We work closely with ...

Site Reliability Engineer

Palo Alto, CA · On-site +1

$165K - $190K/yr

About the DevOps / SRE Team The DevOps/SRE team at Obsidian ensures that engineering excellence translates into stable, scalable, and high-performing production systems. We work closely with ...

Site Reliability Engineer

San Francisco, CA · Remote

$67.25 - $89.25/hr

S. Special Forces. The Role We're hiring a Site Reliability Engineer to own the ... OTA update pipelines, device health tracking, remote diagnostics, and lifecycle tooling. * Identify ...

Site Reliability Engineer

San Mateo, CA · On-site

$180K - $220K/yr

We are looking for a hands-on Site Reliability Engineer to build, operate, and scale the cloud infrastructure that powers our products. This role is focused on owning production infrastructure ...

Senior Site Reliability Engineer, Ads

San Francisco, CA · On-site

$67.25 - $89.25/hr

We're looking for a Senior Site Reliability Engineer to build, operate, and scale the critical systems behind Reddit Ads. What you'll do: * Partner with Ads Engineering teams to improve reliability ...

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Remote Site Reliability Engineer Intern information

What is the difference between Remote Site Reliability Engineer Intern vs Remote DevOps Engineer Intern?

AspectRemote Site Reliability Engineer InternRemote DevOps Engineer Intern
FocusEnsuring system reliability, uptime, and performanceAutomating deployment, integration, and infrastructure management
SkillsMonitoring, incident response, scripting, cloud platformsCI/CD, automation tools, scripting, cloud services
Work EnvironmentCollaborates with SRE and operations teamsWorks with development and operations teams
CertificationsOften preferred: Linux, cloud certificationsOften preferred: Linux, cloud, and automation certifications

While both roles involve cloud and scripting skills, the Remote Site Reliability Engineer Intern focuses on system stability and uptime, whereas the Remote DevOps Engineer Intern emphasizes automation and deployment processes. Understanding these differences helps candidates target their skills and career goals effectively.

What job categories do people searching Remote Site Reliability Engineer Intern jobs in California look for?

The top searched job categories for Remote Site Reliability Engineer Intern jobs in California are:

What cities in California are hiring for Remote Site Reliability Engineer Intern jobs?

Cities in California with the most Remote Site Reliability Engineer Intern job openings:

Infographic showing various Remote Site Reliability Engineer Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Site Reliability Engineering(SRE) - Remote

YO AI Labs

Palo Alto, CA • Remote

$30 - $80/hr

Full-time

Posted 7 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.