Senior Cloud Engineer: Kubernetes, Automation, Hybrid

Motion Recruitment Partners LLC

Pleasanton (CA)

Hybrid

USD 150,000 - 210,000

Full time

5 days ago
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Benefits offered by this job

Bonus eligible
Medical Insurance
Dental Insurance
Vision Insurance
Stock Options
Vacation Time

Job summary

Motion Recruitment Partners LLC in Pleasanton, CA is seeking a Senior Cloud Engineer to join the Technical Operations team. The role is hybrid, three days per week onsite, focusing on cloud infrastructure, Kubernetes operations, automation, and cloud-native platforms across public clouds.

You will operate and improve highly available infrastructure, manage containerized environments, advance automation, support databases, and enhance observability and reliability for a cloud-based SaaS platform.

Qualifications

  • Experience building and operating cloud-native apps with Kubernetes and Docker.
  • Hands-on production Kubernetes and container workloads experience.
  • Experience with AWS, GCP, or Azure public clouds.
  • IaC and automation with Terraform or similar.
  • Strong cloud administration and cloud-native operations.
  • Shell scripting and infrastructure automation.
  • Linux or Windows systems administration background.
  • Developing or supporting production web apps.

Responsibilities

  • 40% Cloud Infrastructure (AWS, GCP, Azure).
  • 30% Kubernetes & container platforms.
  • 20% IaC & automation.
  • 10% Databases, monitoring & observability.

Skills

Kubernetes
Docker
AWS
GCP
Azure
Terraform
Automation
Shell scripting
Linux
Windows
Go/Java/Powershell
Networking
Troubleshooting

Tools

Jenkins
Artifactory
Consul
Prometheus
Fluentd
Elasticsearch

Job description

Motion Recruitment Partners LLC in Pleasanton, CA is seeking a Senior Cloud Engineer to join the Technical Operations team. The role is hybrid, three days per week onsite, focusing on cloud infrastructure, Kubernetes operations, automation, and cloud-native platforms across public clouds.

You will operate and improve highly available infrastructure, manage containerized environments, advance automation, support databases, and enhance observability and reliability for a cloud-based SaaS platform.

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