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Devops Sre Azure Jobs in California (NOW HIRING)

YO AI Labs

DevOps Expert - Remote

Los Angeles, CA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

YO AI Labs

DevOps Expert - Remote

Palo Alto, CA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

Obsidian Security

Site Reliability Engineer

Palo Alto, CA · On-site

$67 - $89/hr

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 ...

YO AI Labs

DevOps Expert - Remote

San Francisco, CA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

YO AI Labs

DevOps Expert - Remote

San Jose, CA · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

EITACIES Inc.

Java SRE Engineer

Santa Clara, CA · On-site

$66.50 - $88.25/hr

AWS, AWS EKS, Kubernetes, DevOps / SRE, Java Key Responsibilities: * Lead large-scale migrations of business-critical applications to AWS and Kubernetes (EKS) * Design and operate production-grade ...

Amicis Global

SRE/ Devops Engineer

Mountain View, CA · On-site

$80 - $90/hr

Title: SRE/ Devops/ Systems Engineer Pay: $70-$80/hr on W2 Location: Mountain View, CA 94043 ... Azure). Apply SRE principles--defining, measuring, and improving reliability metrics (SLIs/SLOs ...

Eitacies Inc

Java SRE Engineer

Santa Clara, CA · On-site

$60/hr

AWS, AWS EKS, Kubernetes, DevOps / SRE, Java Key Responsibilities: * Lead large-scale migrations of business-critical applications to AWS and Kubernetes (EKS) * Design and operate production-grade ...

Programmers.io

DevOps / SRE Engineer -Golang

Sunnyvale, CA · On-site

$67 - $89/hr

... DevOps, SRE, or platform/cloud engineering roles * Strong hands-on experience administering ... Experience implementing CI/CD pipelines (Jenkins, GitLab, Azure Pipelines) and GitOps workflows ...

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All JobsDevops Sre Azure JobsDevops Sre Azure Jobs in California

Devops Sre Azure information

What is the difference between Devops Sre Azure vs Cloud Engineer?

AspectDevops Sre AzureCloud Engineer
CertificationsAzure DevOps, SRE certifications, Cloud certificationsAWS, Azure, Google Cloud certifications
Work EnvironmentFocus on reliability, automation, and monitoring in Azure cloudDesigning, deploying, and managing cloud infrastructure across platforms
Industry UsageTech companies, enterprises using Azure cloud servicesBroad industry use, including startups and large enterprises across multiple cloud providers

Devops Sre Azure professionals focus on ensuring system reliability, automation, and performance within the Azure cloud environment. In contrast, Cloud Engineers design and implement cloud infrastructure across various platforms. While both roles require cloud certifications and involve cloud environments, Devops Sre Azure emphasizes system reliability and automation specifically in Azure, whereas Cloud Engineers have a broader scope across multiple cloud providers.

What cities in California are hiring for Devops Sre Azure jobs?

Cities in California with the most Devops Sre Azure job openings:

Site Reliability Engineering(SRE) - Remote

Palo Alto, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$30 - $80/hr

Full-time

Posted 15 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.