AI/ML Platform Engineer (Cloud Infrastructure) (Ontario)

AI/ML Platform Engineer (Cloud Infrastructure) (Ontario)

20 Sep
|
Ku0026amp;K Global Talent Solutions
|
Ontario

20 Sep

Ku0026amp;K Global Talent Solutions

Ontario

Position: AI/ML Platform Engineer (Cloud Infrastructure)

Location: 4days/week (Onsite- Toronto, ON)

Job type: Full-Time/Permanent Hiring

We are seeking a skilled AI/ML Platform Engineer to deploy, manage, and support scalable AI/ML infrastructure and applications across Kubernetes environments. The role will focus on Kubernetes platform administration, GitOps-based deployments, CI/CD, secrets management, infrastructure automation, and production reliability supporting platforms such as LlamaIndex Cloud and KDB.AI.

Roles & Responsibilities

- Deploy and manage AI/ML applications and platforms, including LlamaIndex Cloud, KDB.AI, and similar workloads, across Dev, QA, and Production environments.
- Administer and maintain production Kubernetes clusters across multiple environments.
- Implement and manage GitOps deployment workflows using Flux CD, Argo CD, or similar tools.
- Develop and maintain Helm charts and Kubernetes manifests for application deployments.
- Configure and manage HashiCorp Vault and ExternalSecrets for secure secrets management.
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, Artifactory, or similar technologies.
- Integrate enterprise identity solutions using OIDC and Microsoft Entra ID.
- Manage Kubernetes networking, Ingress, and Gateway API configurations.
- Administer and support PostgreSQL, MongoDB, Redis, and RabbitMQ infrastructure.




- Configure and maintain database high availability and failover, including technologies such as PgBouncer and HAProxy.
- Monitor application and infrastructure performance and troubleshoot production issues.
- Automate operational tasks using Bash, PowerShell, Python, or Go.
- Create and maintain infrastructure documentation, runbooks, deployment procedures, and platform patterns.
- Collaborate with development, security, identity, and infrastructure teams to deliver reliable, secure, and scalable AI/ML platforms.

Required Skills

- 3 years of production Kubernetes administration
- 2 years of experience with GitOps using Flux CD, Argo CD, or similar tools
- Advanced Helm chart development and Kubernetes manifest management
- HashiCorp Vault and secrets-management solutions
- Artifactory or similar artifact/container registry platforms
- CI/CD with GitHub Actions, Jenkins, or similar tools
- Kubernetes networking, Ingress, and Gateway API
- Administration of PostgreSQL, MongoDB, Redis, and RabbitMQ
- Database HA/failover configuration and troubleshooting
- Robust Linux/Unix administration and shell scripting
- Bash and/or PowerShell scripting

Nice to Have

- Experience with LlamaIndex, LangChain, or AI/ML platforms
- Experience with vector databases or KDB.AI
- Experience with Temporal.io
- Programming experience with Python or Go for automation

📌 AI/ML Platform Engineer (Cloud Infrastructure) (Ontario)
🏢 Ku0026amp;K Global Talent Solutions
📍 Ontario

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: ai/ml platform engineer (cloud infrastructure) (ontario) / ontario