Sr. DevOps Engineer

Layer 6 AI; Toronto; On-site; CAD 80,000 - 110,000; Full time

Benefits offered by this job

Excellent health coverage

Pension plan

Four weeks paid vacation

Catered lunches twice a week

Job summary

Layer 6 AI is seeking a talented DevOps engineer to join our team in Toronto, Ontario. You will work closely with machine learning scientists to develop and automate scalable machine learning pipelines, enhancing the efficiency of our systems.

The ideal candidate has over 5 years of experience with production infrastructure, particularly in Azure or AWS, along with strong scripting skills and knowledge of Kubernetes. We offer an entrepreneurial culture, excellent health coverage, and a generous vacation policy.

Qualifications

• 5+ years of experience building sophisticated and automated production infrastructure.
• Solid experience with Azure or AWS environments.
• Strong practical Linux systems administration skills in a Cloud environment.

Responsibilities

• Develop and automate machine learning pipelines.
• Participate in the development and delivery of scalable systems.
• Handle upgrades and monitor system performance.

Skills

Production infrastructure automation

Azure or AWS

Kubernetes

Docker

Saltstack

Scripting skills (Bash, Python, Groovy)

CI/CD tools management

Linux systems administration

Git

Jenkins

Elasticsearch

Education

BA/BS degree in Computer Science or equivalent

Tools

Kubernetes

Docker

Git

Jenkins

Elasticsearch

Job description

We are looking for world-class devops engineers and problem solvers.

You will be interacting with machine learning scientists and engineers to develop and automate machine learning pipelines that work. In particular, you will participate in the development, delivery and automation of scalable systems for data ingestion, processing, validation, model training, large-scale computation, monitoring, serving results and handling upgrades.

Job Requirements

Must-Have

• 5+ years of experience building sophisticated and automated production infrastructure
• Solid Azure or AWS experience
• Extensive experience with Kubernetes, docker and container orchestration
• Experience with Saltstack or other configuration management
• Strong scripting skills, i.e., Bash, Python, Groovy etc.
• Experience with managing CI/CD tools and pipelines
• Strong practical Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
• Experience with Git, Jenkins and Elasticsearch
• Strong verbal and written communication skills, with the ability to work effectively across teams
• BA/BS degree or equivalent experience; Computer Science background preferred

Nice-to-Have

• Knowledge of IP networking, VPN’s, DNS, load balancing and firewalls
• Familiarity with monitoring tools
• Experience with automated testing tools
• Experience troubleshooting and tuning systems performance
• Knowledge of Java

Benefits

• Entrepreneurial and learning culture
• Excellent health coverage and pension plan
• Four weeks paid vacation
• Catered lunches twice a week over machine learning talks