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Added 20 mins ago
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K&K Global Talent Solutions INC.

Platform Engineer - AI/ML Infrastructure

Toronto, ON, Canada

Pay: $110,000 to $120,000 CAD / year
Job type: Full-time
Apply by: Oct 22, 2026
Experience: Experience Range: 8-10+ Years
Posting language: English
Posted: Sep 22, 2026

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Original job description

Position: Platform Engineer - AI/ML Infrastructure

Location: Toronto, ON (Hybrid)

Employment Type: Full-Time

Experience Range: 8-10+ Years

Job Description:

Roles and responsibilities:

We’re seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
You’ll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.
Deploy and manage LlamaIndex Cloud and KDB.AI applications and similar products supporting AI workloads across Dev/QA/Prod environments.
Implement GitOps workflows using Flux CD for automated deployments
Administer Kubernetes clusters across multiple environments
Configure HashiCorp Vault for secrets management and External Secrets integration
Maintain CI/CD pipelines with GitHub Actions and Artifactory
Work with enterprise Identity Management team to configure OIDC authentication with Microsoft Entra ID
Create and maintain Helm charts and Kubernetes manifests
Monitor application performance and troubleshoot production issues
Document procedures, runbooks, and infrastructure patterns

Required Skills

Core Technologies:
3+ years managing production Kubernetes clusters
2+ years with Flux CD, ArgoCD, or similar GitOps tools
Advanced Helm chart development and management
HashiCorp Vault for secrets management
Artifactory or similar container registries
CI/CD with GitHub Actions, Jenkins, or similar
Infrastructure & Database:
PostgreSQL, MongoDB, Redis, RabbitMQ administration
Database HA/failover configurations (PgBouncer, HAProxy)
Linux/Unix systems and shell scripting (Bash, PowerShell)
Kubernetes networking, Ingress, and Gateway API

Nice to Have:

Experience with Llama Index, LangChain, or AI/ML platforms
Vector databases or KDB.AI knowledge
Temporal.io workflow orchestration
Python/Go for automation

Apply About employer

More about this job

Responsibilities

The Platform Engineer will deploy and manage AI/ML infrastructure, including LlamaIndex Cloud and KDB.AI applications on Kubernetes. Responsibilities include implementing GitOps workflows, managing CI/CD pipelines, and ensuring the reliability and security of production environments.

Requirements

Candidates must have 8-10+ years of experience with a strong background in managing production Kubernetes clusters and GitOps tools like Flux CD. Proficiency in infrastructure automation, database administration, and CI/CD pipeline management is required.

Skills

Kubernetes
GitOps
Flux CD
HashiCorp Vault
Helm
GitHub Actions
PostgreSQL
MongoDB
Redis
RabbitMQ
Linux
Shell Scripting
Python
Go
AI/ML Infrastructure
OIDC

Visa sponsorship

Not detected in the job text

Keywords

Platform Engineer
AI/ML Infrastructure
Kubernetes
LlamaIndex Cloud
KDB.AI
GitOps
Flux CD
HashiCorp Vault
GitHub Actions
Artifactory
Microsoft Entra ID
Helm
PostgreSQL
MongoDB
Redis
RabbitMQ
Linux
Shell Scripting
Ingress
Gateway API
LangChain
Temporal.io
Python
Go
CI/CD
Infrastructure as Code
Automation
Database Administration
OIDC
Cloud

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