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