Lead ML & DevOps Engineer—Edge & Cloud Video Infra

Zensors Inc

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary + equity options
Comprehensive health, dental, and vision benefits

Job summary

Zensors Inc is seeking an ML / DevOps Engineer to enhance their infrastructure for video data processing. This pivotal role involves designing automated workflows, managing high-performance Linux environments, and ensuring seamless integration of cloud-native tools. Ideal candidates will have 6+ years of experience in DevOps or Systems Engineering, with expertise in Kubernetes, CI/CD, and infrastructure for video streaming. The position offers competitive salary with equity options, and comprehensive health benefits.

Qualifications

  • 6+ years of experience in DevOps, MLOps, or Systems Engineering.
  • Strong track record of technical execution and systems integration.
  • Mastery of Linux administration and kernel tuning.

Responsibilities

  • Drive the design and implementation of automated infrastructure workflows.
  • Manage infrastructure for ingesting and processing real-time video streams.
  • Maintain and troubleshoot high-performance Linux environments.
  • Create resilient automation pipelines and orchestrate Kubernetes environments.
  • Design CI/CD pipelines and automate infrastructure provisioning.
  • Build monitoring systems tailored for AI/video workloads.

Skills

Linux administration
Networking protocols (TCP/IP, UDP, DNS)
Kubernetes
Infrastructure as Code (Terraform, Ansible)
CI/CD tools (Jenkins, GitLab CI, ArgoCD)
Video streaming (RTSP, HLS, WebRTC)

Education

BS, MS, or PhD in Computer Science or a related field

Tools

Kubernetes
Terraform
Ansible

Job description

Zensors Inc is seeking an ML / DevOps Engineer to enhance their infrastructure for video data processing. This pivotal role involves designing automated workflows, managing high-performance Linux environments, and ensuring seamless integration of cloud-native tools. Ideal candidates will have 6+ years of experience in DevOps or Systems Engineering, with expertise in Kubernetes, CI/CD, and infrastructure for video streaming. The position offers competitive salary with equity options, and comprehensive health benefits.
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