Lead ML & DevOps Engineer—Edge & Cloud Video Infra

Zensors Inc

San Francisco (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

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.
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Dev / ML Ops Engineer
Dev / ML Ops Engineer

Zensors • San Francisco (CA)

On-site
USD 120,000 - 160,000
Competitive base salary + equity options
Comprehensive health, dental, and vision benefits
Senior Edge ML Engineer - Vision & Cloud Telemetry
Senior Edge ML Engineer - Vision & Cloud Telemetry

Amazon Inc. • Bellevue (WA)

On-site
USD 168,000 - 227,000
Health insurance
401(k) matching
Paid time off
+1
MLOps Engineer - Edge & Cloud CV Deployments
MLOps Engineer - Edge & Cloud CV Deployments

AgileEngine • Boca Raton (FL)

On-site
USD 120,000 - 190,000
Professional growth
Competitive compensation
An exciting projects portfolio
+1
Remote ML DevOps Engineer for Scalable AI Infra
Remote ML DevOps Engineer for Scalable AI Infra

Pathway • Palo Alto (CA)

Hybrid
USD 150,000 - 190,000
Remote ML Engineer — Real-Time Data Pipelines & MLOps
Remote ML Engineer — Real-Time Data Pipelines & MLOps

Twilio • United States

Remote
USD 138,700 - 173,400
Competitive pay
Generous time off
Healthcare benefits
+1
Senior ML Ops Engineer — Edge & Cloud Pipelines
Senior ML Ops Engineer — Edge & Cloud Pipelines

Compunnel, Inc. (old) • Westbrook (ME)

On-site
USD 120,000 - 160,000
Backend/Infra Engineer for Scalable Video AI Platform
Backend/Infra Engineer for Scalable Video AI Platform

Nomadic AI • San Francisco (CA)

Hybrid
USD 180,000 - 240,000
Remote ML Infra DevOps Engineer – GCP/Kubernetes
Remote ML Infra DevOps Engineer – GCP/Kubernetes

Київстар • All (MO)

Hybrid
USD 90,000 - 120,000
Performance bonuses
Health and life insurance
Wellbeing program
+1
Staff Engineer: Real-Time Video & Edge ML
Staff Engineer: Real-Time Video & Edge ML

Coram AI • Sunnyvale (CA)

On-site
USD 140,000 - 210,000
Flexible paid time off
Early-stage equity
Referral bonuses
+2
Founding DevOps / Systems / ML Ops Engineer - Physical AI Startup
Founding DevOps / Systems / ML Ops Engineer - Physical AI Startup

Skyrocket Ventures • San Francisco (CA)

Hybrid
USD 180,000 - 220,000