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 RequirementsMust-Have5+ years of experience building sophisticated and automated production infrastructureSolid Azure or AWS experienceExtensive experience with Kubernetes, docker and container orchestrationExperience with Saltstack or other configuration managementStrong scripting skills, i.E., Bash, Python, Groovy etc.Experience with managing CI/CD tools and pipelinesStrong practical Linux systems administration skills in a Cloud setting,



Redhat and UbuntuExperience with Git, Jenkins and ElasticsearchStrong verbal and written communication skills, with the ability to work effectively across teamsBA/BS degree or equivalent experience; Computer Science background preferredNice-to-HaveKnowledge of IP networking, VPN’s, DNS, load balancing and firewallsFamiliarity with monitoring toolsExperience with automated testing toolsExperience troubleshooting and tuning systems performanceKnowledge of JavaBenefitsEntrepreneurial and learning cultureExcellent health coverage and pension planFour weeks paid vacationCatered lunches twice a week over machine learning talks#J-18808-Ljbffr

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