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Remote Operations Engineer Jobs in Oakland, CA (NOW HIRING)

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next ...

DevOps Engineer - Remote

San Jose, CA ยท Remote

$50 - $150/hr

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next ...

DevOps Engineer - Remote

Palo Alto, CA ยท Remote

$50 - $150/hr

... s Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next ...

Sr. DevOps Engineer

San Francisco, CA ยท Remote

$153K - $196K/yr

... s Engineer Location: San Francisco, CA Job type: FTE Job Overview: We are looking for a Senior ... remote teams Excellent problem solving and troubleshooting skills Passion for development ...

DevOps Engineer

San Francisco, CA ยท Remote

$54 - $74/hr

Job Role DevOps Engineer Location Remote Duration 6 Months Contract Interview type Video Required skills * Experience in version control systems (VCS), such as Github Actions Application Development ...

DevOps Expert - Remote

San Jose, CA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... , SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

DevOps Expert - Remote

San Francisco, CA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... , SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

DevOps Expert - Remote

Palo Alto, CA ยท Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... , SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows ...

Senior DevOps Engineer

San Francisco, CA ยท On-site +1

$153K - $196K/yr

... s Engineer to own how Scanner gets deployed, upgraded, and operated everywhere it runs. We ... Remote-friendly with optional in-person collaboration in San Francisco, Mountain View, and Seattle.

AI-First SRE/DevOps Engineer

San Jose, CA ยท 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 ...

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Showing results 1-20

Remote Operations Engineer information

See Oakland, CA salary details

$41.3K

$97.7K

$155K

How much do remote operations engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote operations engineer in Oakland, CA is $97,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $108,000.00 per year, depending on experience, location, and employer.

What is a remote operations engineer?

A Remote Operations Engineer monitors, manages, and optimizes systems and processes from a remote location, ensuring efficiency and reliability. They use advanced technology and software tools to oversee operations in industries like energy, manufacturing, or IT. Their responsibilities include troubleshooting, data analysis, and collaborating with on-site teams to maintain smooth operations. Strong technical skills, problem-solving abilities, and adaptability are essential for this role.

What are the key skills and qualifications needed to thrive as a remote operations engineer?

To thrive as a Remote Operations Engineer, you need a solid background in systems administration, networking, and cloud infrastructure, often demonstrated by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, remote monitoring systems, and relevant certifications such as AWS Certified SysOps Administrator or CompTIA Network+ is highly valuable. Strong problem-solving skills, proactive communication, and excellent time management help engineers excel in remote and collaborative environments. These skills ensure efficient, reliable operations management and smooth coordination with distributed teams and stakeholders.

What are some common challenges faced by remote operations engineers, and how can they be addressed?

Remote Operations Engineers often encounter challenges such as managing critical systems across different time zones, quickly diagnosing issues without on-site access, and maintaining clear communication with global teams. To succeed, it's important to leverage robust monitoring and automation tools, proactively schedule regular check-ins, and document processes thoroughly. Developing strong relationships with team members and participating in virtual collaboration sessions can also help overcome remote work barriers. In this dynamic role, adaptability and continuous learning are key to staying ahead of evolving technology and operational demands.

What are the most commonly searched types of Operations Engineer jobs in Oakland, CA?

The most popular types of Operations Engineer jobs in Oakland, CA are:

What are popular job titles related to Remote Operations Engineer jobs in Oakland, CA?

For Remote Operations Engineer jobs in Oakland, CA, the most frequently searched job titles are:

What job categories do people searching Remote Operations Engineer jobs in Oakland, CA look for?

The top searched job categories for Remote Operations Engineer jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Remote Operations Engineer jobs?

Cities near Oakland, CA with the most Remote Operations Engineer job openings:

Infographic showing various Remote Operations Engineer job openings in Oakland, CA as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,653 per year, or $46.9 per hour.

DevOps Engineer - Remote

YO AI Labs

San Francisco, CA โ€ข Remote

$50 - $150/hr

Full-time

Posted 9 days ago


Job description

DevOps Engineer

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD, Kubernetes, infrastructure as code, Linux, and cloud environments while ensuring solutions are accurate, reproducible, and technically sound.

No prior AI experience is required—your DevOps expertise and engineering judgment are what matter most.

Key Responsibilities
  • Design realistic DevOps tasks covering CI/CD, containers, Kubernetes, IaC, monitoring, and incident response.
  • Create working reference solutions with clear setup and validation steps.
  • Review AI-generated solutions, identify failures, and provide precise technical corrections.
  • Maintain high standards for correctness, reliability, and reproducibility.
  • Provide structured feedback to improve AI-generated DevOps workflows.
Required Skills
  • Kubernetes
  • Terraform
  • CI/CD
  • Python
  • Linux
  • Docker
  • Git
  • Cloud Platforms
  • Infrastructure as Code
Required Qualifications
  • 3+ years of professional experience in DevOps, SRE, Platform, or Infrastructure Engineering.
  • Strong coding skills in Python, Go, Bash, or TypeScript.
  • Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Practical experience with Docker, Kubernetes, and at least one major cloud platform.
  • Infrastructure as Code experience with Terraform, Ansible, Pulumi, or CloudFormation.
  • Advanced Linux and Git skills.
  • Strong written and spoken English.
  • Availability of at least 20 hours per week.
Preferred Qualifications
  • Experience with Prometheus, Grafana, Datadog, or OpenTelemetry.
  • Background in security, secrets management, or platform reliability.
  • Open-source contributions or technical writing experience.
  • Previous experience with AI training data or model evaluation.