Job Title:

Platform Engineer - AI/ML Infrastructure Job Type:

Full Time Location:

Toronto, ON Work Model:

4 Days/Week

Primary Skills Kubernetes, GitOps (Flux CD/ArgoCD), Helm & HashiCorp Vault

Job Description We are seeking a skilled

Platform Engineer - AI/ML Infrastructure

to deploy, manage, and support reliable, scalable, and secure AI/ML infrastructure across multiple environments. The ideal candidate will have strong hands‑on experience with Kubernetes, GitOps practices, CI/CD pipelines, secrets management, and cloud‑native infrastructure.

The successful candidate will work with AI/ML platforms such as LlamaIndex Cloud and KDB.AI, supporting deployments across Development, QA, and Production environments while ensuring platform reliability, security, and operational efficiency.

Deploy and manage LlamaIndex Cloud, KDB.AI, and similar AI/ML applications across Dev, QA, and Production environments.

Build reliable, scalable, and secure deployment pipelines using modern GitOps practices.

Implement and maintain GitOps workflows using

Flux CD

for automated deployments.

Administer and maintain Kubernetes clusters across multiple environments.

Configure

HashiCorp Vault

for secrets management and integrate with ExternalSecrets.

Maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.

Work with the enterprise Identity Management team to configure OIDC authentication with Microsoft Entra ID.

Create, maintain, and optimize Helm charts and Kubernetes manifests.

Configure and manage Kubernetes networking, Ingress, and Gateway API.





Monitor application performance and troubleshoot production issues.

Support PostgreSQL, MongoDB, Redis, and RabbitMQ infrastructure as required.

Implement and maintain database high‑availability and failover configurations.

Develop and maintain infrastructure documentation, runbooks, and operational procedures.

Collaborate with engineering, security, identity, and platform teams to improve infrastructure reliability and automation.

Required Skills & Qualifications

3+ years of experience managing production Kubernetes clusters.

2+ years of experience with

Flux CD, ArgoCD, or similar GitOps tools .

Advanced experience developing and managing Helm charts.

Strong hands‑on experience with

HashiCorp Vault

for secrets management.

Experience with Artifactory or similar container registries.

Strong experience with CI/CD tools such as GitHub Actions or Jenkins.

Administration experience with PostgreSQL, MongoDB, Redis, and RabbitMQ.

Experience with database HA and failover configurations, including PgBouncer and HAProxy.

Solid Linux/Unix administration skills and shell scripting using Bash or PowerShell.

Good understanding of Kubernetes networking, Ingress, and Gateway API.

Strong troubleshooting, monitoring, and problem‑solving skills.

Nice-to-Have Skills

Experience with LlamaIndex, LangChain, or other AI/ML platforms.

Knowledge of vector databases or KDB.AI.

Experience with Temporal.io workflow orchestration.

Programming experience with Python or Go for infrastructure automation.

Experience supporting production AI/ML workloads.

#J-18808-Ljbffr

📌 Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure (Winnipeg)
🏢 Astra North Infoteck
📍 Winnipeg