1

Google Anthos Jobs (NOW HIRING)

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

GoLang, C/C++ * Enterprise Grade Kubernetes cluster (RedHat OpenShift - preferred) and/or Google Anthos * Software development lifecycle includes design, development, testing, packaging, and ...

Design, implement, and manage scalable, cost-effective, and performance-based hybrid cloud solutions, including, but not limited to, AWS Outposts, Azure Arc, and Google Anthos. * Design, implement ...

next page

Showing results 1-20

Google Anthos information

See salary details

$5

$18

$19

How much do google anthos jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for google anthos in the United States is $18.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $18.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google Anthos Engineer, and why are they important?

To thrive as a Google Anthos Engineer, you need strong expertise in cloud computing, Kubernetes orchestration, networking, and security, typically supported by a degree in computer science or related certifications. Familiarity with Anthos components, GCP services, infrastructure-as-code tools like Terraform, and CI/CD systems is essential. Problem-solving, effective communication, and adaptability are critical soft skills for collaborating with cross-functional teams and managing complex deployments. These skills and qualities are vital for ensuring seamless hybrid and multi-cloud solutions that meet business and operational requirements.

What is the difference between Google Anthos vs Kubernetes Administrator?

AspectGoogle AnthosKubernetes Administrator
CertificationsGoogle Cloud certifications, Anthos-specific trainingKubernetes certifications (CKA, CKAD)
Work EnvironmentHybrid cloud, multi-cloud environmentsOn-premises, cloud, or hybrid Kubernetes clusters
Industry UsageCloud service providers, enterprise ITDevOps teams, cloud infrastructure management
Primary FocusManaging multi-cloud applications and servicesDeploying, managing, and troubleshooting Kubernetes clusters

Google Anthos and Kubernetes Administrators both work with cloud-native technologies, but Anthos focuses on managing multi-cloud environments with a broader platform, while Kubernetes Administrators specialize in managing Kubernetes clusters specifically. Understanding both roles helps organizations optimize their cloud infrastructure and deployment strategies.

What are some common challenges faced by professionals working with Google Anthos in enterprise environments?

Professionals working with Google Anthos often encounter challenges related to integrating and managing hybrid or multi-cloud infrastructure, especially when aligning legacy systems with modern containerized workloads. Ensuring consistent security policies and compliance across on-premises and cloud environments can also be complex. Additionally, coordinating collaboration between development, operations, and security teams is crucial for smooth deployments and ongoing management. Staying up-to-date with Anthos updates and new features is important for maximizing its benefits and maintaining an efficient workflow.

What is Google Anthos?

Google Anthos is a hybrid and multi-cloud application management platform developed by Google Cloud. It enables organizations to modernize, deploy, and manage applications across on-premises environments, Google Cloud, and other cloud providers. Anthos provides a consistent platform for application development and operations, leveraging Kubernetes, Istio, and other open-source technologies. This allows businesses to run applications securely and efficiently, regardless of where they are hosted. Anthos also simplifies container management, security, and monitoring across different environments.
More about Google Anthos jobs
Infographic showing various Google Anthos job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $38,000 per year, or $18.3 per hour.

AI Infra SRE Engineer

Nastech Global

San Jose, CA • Remote

$58.25 - $77.50/hr

Full-time

Posted 13 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.