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Remote Devops Sre Engineer Jobs in San Ramon, CA

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

AI Infra SRE Engineer - DGX Location: Remote Duration: Fulltime Must-have * NVIDIA (DGX) or ... Docker Good to have * DevOps Automation * CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)

Site Reliability Engineer

San Mateo, CA · Remote

$140K - $150K/yr

This position is remote and requires working East Coast business hours (EST). What You'll Do ... DevOps Engineering, Platform Engineering, Cloud Infrastructure Engineering, or similar ...

New

Site Reliability Engineer

San Francisco, CA · On-site +1

$67.25 - $89.25/hr

About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to ... We offer parental leave, paid-time off and fully remote working arrangements. Benefits include ...

Site Reliability Engineer

San Francisco, CA · On-site +1

$67.25 - $89.25/hr

You'll collaborate closely with backend, ML and DevOps engineers and help shape a culture where ... Employees based in other cities enjoy a fully remote work environment with the ability to travel ...

... operational burden, making reliability improvements to core services, and creating internal developer productivity tools that make the entire team more effective. SRE is about making things better ...

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Showing results 1-20

Remote Devops Sre Engineer information

See San Ramon, CA salary details

$12

$71

$102

How much do remote devops sre engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for remote devops sre engineer in San Ramon, CA is $71.23, according to ZipRecruiter salary data. Most workers in this role earn between $61.25 and $81.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Devops Sre Engineer position, and why are they important?

To thrive as a Remote DevOps SRE Engineer, you need deep expertise in systems administration, cloud platforms (such as AWS, Azure, or Google Cloud), automation, and infrastructure-as-code, typically backed by experience in scripting languages and a relevant technical degree. Proficiency with tools like Docker, Kubernetes, Terraform, Jenkins, and monitoring solutions, as well as certifications such as AWS Certified DevOps Engineer or Google Professional SRE, is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate virtually are key soft skills in a remote setting. These capabilities ensure reliability, scalability, and seamless operations of critical systems in distributed environments.

What are the primary responsibilities and challenges faced by a Remote DevOps SRE Engineer day-to-day?

Remote DevOps SRE Engineers are responsible for maintaining the availability, scalability, and performance of production systems, often using automation to streamline deployments and incident response. A typical day may involve refining CI/CD pipelines, responding to system alerts, conducting root cause analysis of outages, and collaborating with software engineers to improve system reliability. One of the main challenges is proactively identifying and mitigating potential infrastructure issues before they impact customers, all while communicating effectively across remote teams. The role often requires balancing the implementation of new technologies with maintaining operational stability, making adaptability and strong time management essential for success.

What is a Remote DevOps SRE Engineer job?

A Remote DevOps SRE (Site Reliability Engineer) job involves managing and automating infrastructure, ensuring system reliability, and optimizing deployment processes from a remote location. These professionals work with cloud platforms, CI/CD pipelines, monitoring tools, and configuration management to enhance system performance and availability. They collaborate with development and operations teams to prevent service disruptions and improve scalability. The role requires expertise in coding, automation, troubleshooting, and cloud technologies like AWS, Azure, or GCP.

What are popular job titles related to Remote Devops Sre Engineer jobs in San Ramon, CA? For Remote Devops Sre Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Remote Devops Sre Engineer jobs in San Ramon, CA look for? The top searched job categories for Remote Devops Sre Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Devops Sre Engineer jobs? Cities near San Ramon, CA with the most Remote Devops Sre Engineer job openings:
Infographic showing various Remote Devops Sre Engineer job openings in San Ramon, CA as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $148,164 per year, or $71.2 per hour.

AI Infra SRE Engineer

Nastech Global

San Jose, CA • Remote

$58.25 - $77.50/hr

Full-time

Posted 11 days ago


Job description

Position: AI Infra SRE Engineer – DGX

Location: Remote

Duration: Fulltime

Must-have

  • NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM)
  • Cisco UCS C885A
  • Docker

Good to have

  • DevOps Automation
  • CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins)
  • Terraform, Ansible, Jenkins
  • Python
  • GoLang, C/C++
  • Enterprise Grade Kubernetes cluster (RedHat OpenShift – preferred) and/or Google Anthos
  • Software development lifecycle includes design, development, testing, packaging, and deployment using Golang

Roles & Responsibilities

  • Technical knowledge of high-performance compute, NVIDIA DGX/GPUs and/or Cisco Unified Compute System.
  • Handle availability, latency, scalability and efficiency of NVIDIA and Cisco UCS infrastructure
  • by instilling engineering reliability into the development life cycle with a focus on fault tolerant approaches.
  • Drive capacity planning, performance analysis, instrumentation, and other non-functional systems requirements.
  • Automate operational capabilities using Python, Ansible, Terraform, Go etc.
  • Deliver automation through CI/CD pipeline and chatbot etc.
  • Implement metrics driven processes to ensure service quality targets are met.