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

Solid 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

#J-18808-Ljbffr

📌 Sr. DevOps Engineer (Toronto)
🏢 Layer 6 AI
📍 Toronto