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Remote Google Devops Jobs in California (NOW HIRING)

Active Theory is seeking a backend developer and DevOps hybrid to help build out the underlying ... Experience with Google Cloud Platform and services, including Firebase - Compute Engine, Cloud ...

Director of Production Engineering

San Francisco, CA · Remote

$220K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hire and build a globally-distributed DevOps/SRE engineering team. Recruit, mentor, and manage ... As a fully remote employer, pay for positions is determined using local, national, and industry ...

Director of Production Engineering

San Francisco, CA · Remote

$265K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Hire and build a globally-distributed DevOps/SRE engineering team. Recruit, mentor, and manage ... As a fully remote employer, pay for positions is determined using local, national, and industry ...

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in ... or Google Cloud). * Experience working with RESTful APIs, microservices architecture, and DevOps ...

Lead and evolve the Foundation's DevOps and Solutions Architecture strategy, aligning it with ... Google Workspace. * We're recruiting for mission-driven, passionate, equity-minded individuals with ...

AI Agentic Engineer

San Francisco, CA · On-site +1

$62 - $85/hr

  • Medical

  • Life

  • Retirement

  • PTO

Employee divides their time between in-office and remote work. Access to an office location is ... Familiarity with Agile, DevOps, and CI/CD practices * Familiarity with containerization and ...

AI-First SRE/DevOps Engineer

San Jose, CA · On-site +1

$66.75 - $88.75/hr

US (Remote or HQ Hybrid) Job Type: Full-time Axiad is seeking a skilled AI-First SRE/DevOps Engineer with 5-8 years of hands-on infrastructure and platform engineering experience to help build and ...

Showing results 41-60

Remote Google Devops information

What is the difference between Remote Google Devops vs Remote AWS Devops?

AspectRemote Google DevopsRemote AWS Devops
Required CertificationsGoogle Cloud certifications (e.g., Professional Cloud DevOps Engineer)AWS certifications (e.g., AWS Certified DevOps Engineer)
Work EnvironmentGoogle Cloud Platform services, Google Cloud toolsAWS services, AWS-specific tools
Industry UsagePrimarily in organizations leveraging Google CloudPrimarily in organizations leveraging AWS
Common Search/ComparisonYesYes

Remote Google Devops and Remote AWS Devops roles share similarities in required skills, such as cloud infrastructure management, automation, and CI/CD pipelines. The main difference lies in the cloud platform used: Google Cloud vs AWS. Certifications and tools are platform-specific, so candidates should focus on the relevant cloud provider for their desired role.

What is a remote Google DevOps engineer?

Remote Google DevOps engineers are IT professionals who specialize in managing, automating, and optimizing development and operational processes for software systems using Google Cloud Platform (GCP) and related tools. Working remotely, they collaborate with teams to deploy applications, monitor infrastructure, and ensure system reliability from any location. Their responsibilities often include continuous integration and continuous deployment (CI/CD), configuration management, and cloud resource optimization, all while leveraging Google’s suite of cloud services.

How do remote Google DevOps engineers typically collaborate with cross-functional teams to ensure smooth deployments?

Remote Google DevOps engineers regularly coordinate with developers, QA testers, and product managers using collaboration tools like Google Meet, Slack, and Jira. They participate in daily stand-ups, sprint planning, and release meetings to align on deployment schedules and address any blockers. Effective communication and thorough documentation are essential to keep everyone informed and ensure that changes are deployed reliably in distributed environments. Building strong virtual relationships and proactively addressing issues help foster a cohesive team, even when working remotely.

What are the key skills and qualifications needed to thrive as a remote Google DevOps engineer, and why are they important?

To thrive as a Remote Google DevOps Engineer, you need expertise in cloud infrastructure (especially Google Cloud Platform), CI/CD pipelines, scripting, and automation, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Terraform, Jenkins, and Google Cloud certifications such as Professional DevOps Engineer are typically required. Strong problem-solving skills, collaboration, and effective remote communication are vital soft skills for this position. These competencies ensure seamless deployment, reliable operations, and efficient teamwork in distributed environments.

What job categories do people searching Remote Google Devops jobs in California look for?

The top searched job categories for Remote Google Devops jobs in California are:

Infographic showing various Remote Google Devops job openings in California as of August 2026, with employment types broken down into 52% Full Time, 26% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.

DevOps Engineer - AI Model Evaluator

Mercor

San Francisco, CA • Remote

$85/hr

Full-time

Re-posted 14 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks.
  • Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation.
  • Identify bugs, edge cases, reliability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models to assess strengths and weaknesses.
  • Apply professional engineering judgment to realistic infrastructure engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional DevOps, SRE, or Cloud Engineering experience.
  • Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling.
  • Regular use of AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated infrastructure and reliability engineering solutions.

Preferred

  • Experience supporting production-scale systems.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.