Devops Engineer - ML

Diverse Lynx; Mississauga; On-site; CAD 95,000 - 115,000; Full time

Job summary

A leading tech solutions provider is seeking a DevOps Engineer to deploy and modernize Machine Learning infrastructure with a focus on Kubernetes. The ideal candidate will have over 5 years of experience in building automated production environments, strong scripting skills, and familiarity with cloud platforms like Azure. Responsibilities include ensuring compliance with security standards, managing CI/CD pipelines, and delivering scalable data processing systems. This position requires excellent communication skills, and a background in software engineering is preferred.

Qualifications

• 5+ years of experience building sophisticated and automated production infrastructure.
• Experience with Kubernetes, Docker, and container orchestration.
• Experience with managing CI/CD tools and pipelines.

Responsibilities

• Deploy and modernize Machine Learning Kubernetes infrastructure.
• Ensure deployments comply with enterprise security standards.
• Deliver, deploy, and upgrade scalable systems designed for processing and model training.

Skills

Kubernetes

Docker

Terraform

Azure

Scripting (Bash, Python, Groovy)

CI/CD tools

Linux (Redhat, Ubuntu)

Git

Jenkins

Monitoring tools

Education

BA/BS degree in Computer Science or equivalent experience

Job description

Devops Engineer - ML Toronto ON ONSITE

Devops, ML, Kubernetes, Docker, Azure, Terraform

You will be deploying and modernizing Machine Learning Kubernetes infrastructure. Ensuring deployments comply with enterprise security standards. The day-to-day task involves delivery, deployment, and upgrading of scalable systems designed for data ingestion, processing, validation, model training, large-scale computation, monitoring, and serving prediction results.

Our stack for DevOps includes: Kubernetes, Docker, Databricks, Blobfuse, Terraform, Helm, Github Actions, and Saltstack, with a majority of our infrastructure running on Azure cloud.

Job Requirements

Must-Have

• 5+ years of experience building sophisticated and automated production infrastructure
• Experience with Kubernetes, docker and container orchestration
• Experience with Terraform
• A background in software engineering, working within a software development team
• Solid cloud experience (Preferably Azure or AWS)
• Strong scripting skills, i.e., Bash, Python, Groovy etc.
• Experience with managing CI/CD tools and pipelines
• Experience with Linux systems administration skills in a Cloud environment, Redhat and Ubuntu
• Experience with Git, and Jenkins
• Strong verbal and written communication skills, with the ability to work effectively across teams and produce engineering documentation
• 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 toolsExperience troubleshooting and tuning systems performance
• Experience with Saltstack or other configuration management
• Experience resolving and triaging docker image problems
• Experience optimizing system-level design and architecture

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.