Closed listing
Platform Engineer - AI/ML Infrastructure
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Roles and responsibilities:
- Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
- Youll 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 ExternalSecrets 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 LlamaIndex, LangChain, or AI/ML platforms
- Vector databases or KDB.AI knowledge
- Temporal.io workflow orchestration
- Python/Go for automation
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 also include building secure deployment pipelines using GitOps practices and maintaining CI/CD workflows.
Requirements
Candidates must have at least 3 years of experience managing production Kubernetes clusters and 2 years of experience with GitOps tools like Flux CD or ArgoCD. Proficiency in Helm chart development, secrets management with HashiCorp Vault, and database administration is required.
Skills
- Kubernetes
- GitOps
- Flux CD
- Helm
- HashiCorp Vault
- GitHub Actions
- Artifactory
- PostgreSQL
- MongoDB
- Redis
- RabbitMQ
- Linux
- Shell Scripting
- Kubernetes Networking
- Ingress
- Gateway API
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Platform Engineer
- AI/ML Infrastructure
- Kubernetes
- LlamaIndex Cloud
- KDB.AI
- GitOps
- Flux CD
- HashiCorp Vault
- GitHub Actions
- Artifactory
- OIDC
- Microsoft Entra ID
- Helm
- PostgreSQL
- MongoDB
- Redis
- RabbitMQ
- PgBouncer
- HAProxy
- Linux
- Bash
- PowerShell
- Ingress
- Gateway API
- LangChain
- Vector Databases
- Temporal.io
- Python
- Go
- CI/CD