ML Platform Engineering Team – DevOps engineer

Themesoft Inc.

Toronto

On-site

CAD 89,544 - 103,320

Full time

14 days+

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Job summary

A notable IT solutions provider is seeking a tech-savvy professional for a contract role focusing on deploying and modernizing Machine Learning Kubernetes infrastructure. The ideal candidate should have over 7 years of experience with Kubernetes, Docker, and Terraform. This role includes ensuring compliance with enterprise security standards and working on scalable systems with a strong emphasis on cloud technologies, particularly Azure.

Qualifications

7+ years of experience building sophisticated and automated production infrastructure.
Experience with Kubernetes and container orchestration.
Solid cloud experience, preferably Azure or AWS.

Responsibilities

Deploy and modernize Machine Learning Kubernetes infrastructure.
Ensure deployments comply with enterprise security standards.
Work on scalable systems for data ingestion and processing.

Skills

Kubernetes

Docker

Terraform

Cloud experience

CI/CD tools

Linux systems administration

Git

Jenkins

Verbal and written communication

Education

BA/BS degree in Computer Science or equivalent

Tools

Azure

GitHub Actions

Saltstack

Job description

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Direct message the job poster from Themesoft Inc.

Themesoft Inc. is a global IT solutions provider and a Woman‑Owned Minority Business Enterprise headquartered in Dallas, TX. With a strong presence across the US, Canada, India, Singapore, and Brazil, we specialize in digital transformation, consulting, and workforce solutions across diverse industries.

We are currently looking for a tech-savvy and results-driven professional for one of our leading clients. If you’re passionate about technology and looking to grow in a dynamic, fast-paced environment, this could be the perfect fit for you!

6+ months Contract with Potential Extention

Potential updated:

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:

7+ 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)
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: