Toronto, Ontario M5V 3L9 Posted September 22nd, 2026

Job Type: Full Time

Job Category: IT

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

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.

Roles & Responsibilities

- 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.
- Strong Linux/Unix administration skills and shell scripting using Bash or PowerShell.
- Good understanding of Kubernetes networking, Ingress, and Gateway API.
- Solid 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.

Key Competencies

- Kubernetes Administration
- GitOps & Continuous Deployment
- Flux CD / ArgoCD
- Helm
- HashiCorp Vault
- CI/CD & DevOps
- AI/ML Infrastructure
- Linux/Unix
- Infrastructure Automation
- Production Support

Required Skills

Automation Anywhere Cloud Developer Data Governance DevOps Engineer Engineering Architect Recruitment Salesforce Commerce Cloud Consultant Terraform Workato

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