Cloud Platform Engineer — Scalable ML Infra

The Consensus; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

100% coverage of medical, dental, and vision insurance

Flexible PTO policy

Paid parental leave

Job summary

The Consensus is seeking a Cloud Platform Engineer in San Francisco to build robust systems for machine learning deployment. Your role will involve managing scalable infrastructure and ensuring performance and reliability.

Requirements include a degree in relevant fields and extensive experience with Kubernetes. Benefits include competitive compensation and comprehensive health insurance. Join a dynamic team and make an impact in AI!

Qualifications

• Extensive experience with Kubernetes.
• Experience building and maintaining scalable infrastructure.
• Experience with infrastructure as code tools.

Responsibilities

• Build and maintain scalable infrastructure for machine learning models.
• Establish reliability and performance standards.
• Automate processes for CI/CD pipelines.
• Own projects end-to-end with user empathy.

Skills

Kubernetes

Infrastructure as Code tools

CI/CD tooling

Open-source observability tools

Education

Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics

Tools

Terraform

GitHub Actions

Prometheus

Job description

The Consensus is seeking a Cloud Platform Engineer in San Francisco to build robust systems for machine learning deployment. Your role will involve managing scalable infrastructure and ensuring performance and reliability.

Requirements include a degree in relevant fields and extensive experience with Kubernetes. Benefits include competitive compensation and comprehensive health insurance. Join a dynamic team and make an impact in AI!