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Google Anthos Jobs (NOW HIRING)

AI Infra SRE Engineer

San Jose, CA ยท 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 ...

Senior DevOps Engineer

Fremont, CA ยท On-site

$120 - $150/hr

* Manage, administer, and optimize production Kubernetes clusters across Amazon EKS and Google Anthos/GKE environments. * Perform cluster lifecycle management including upgrades, patching, capacity ...

New

Sr. Application Engineer

Shrewsbury, MA ยท On-site

$110 - $140/hr

Build and maintain CI/CD pipelines to include security scans and deployment automation using Argos CD and Google Anthos. * Provision and manage GCP infrastructure using Terraform, including Cloud Run ...

New

Google Cloud Architect #121

Austin, TX ยท On-site

$140 - $200/hr

Experience with Kubernetes, Istio, and Anthos. * Experience working within the Google Cloud ... ecosystem. * Competitive compensation that reflects your experience and impact. * Growth and ...

New

About Us Anthos|Home is a nonprofit startup focused on creating a new way home for New Yorkers with ... Proficiency in Google Workspace (Docs, Sheets, Gmail); proficiency in Salesforce or similar CRM ...

About Us Anthos|Home is a nonprofit startup focused on creating a new way home for New Yorkers with ... Proficiency in Google Workspace (Docs, Sheets, Gmail); proficiency in Salesforce or similar CRM ...

About Us Anthos|Home is a nonprofit startup focused on creating a new way home for New Yorkers with ... Proficiency in Google Workspace (Docs, Sheets, Gmail); proficiency in Salesforce or similar CRM ...

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Google Anthos information

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How much do google anthos jobs pay per hour?

As of Aug 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?

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 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 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 does Google Anthos do?

Google Anthos is a hybrid and multi-cloud application platform that enables organizations to manage, deploy, and secure applications across on-premises data centers and multiple cloud environments. It provides tools for container orchestration, such as Kubernetes, and supports consistent application management, making it suitable for DevOps and cloud engineers. Knowledge of cloud infrastructure and containerization is helpful for roles involving Google Anthos.
More about Google Anthos jobs
Infographic showing various Google Anthos job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% 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 โ€ข Remote

$58.25 - $77.50/hr

Full-time

Re-posted 15 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.