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Apptoza Inc.

Platform Engineer – AI/ML Infrastructure

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 26, 2026
Experience: 3+ years of production Kubernetes experience.
Posting language: English
Posted: Oct 27, 2026

Original job description

Role : Platform Engineer – AI/ML Infrastructure

Location : Toronto ,ON

Role Overview

We are seeking a skilled Platform Engineer to deploy, manage, and optimize AI/ML applications on Kubernetes platforms. The ideal candidate will have strong experience in GitOps, CI/CD, infrastructure automation, secrets management, and production Kubernetes environments.

Key Responsibilities

Deploy and manage AI/ML applications such as LlamaIndex Cloud and KDB.AI across Dev, QA, and Production.
Manage Kubernetes clusters, Helm charts, and Kubernetes manifests.
Implement GitOps workflows using Flux CD or ArgoCD.
Maintain CI/CD pipelines using GitHub Actions and Artifactory.
Configure HashiCorp Vault, ExternalSecrets, and OIDC authentication with Microsoft Entra ID.
Administer databases, troubleshoot production issues, and monitor application performance.
Document infrastructure standards, runbooks, and operational procedures.

Required Skills

3+ years of production Kubernetes experience.
2+ years with GitOps tools such as Flux CD or ArgoCD.
Advanced Helm, HashiCorp Vault, CI/CD, and container registry experience.
PostgreSQL, MongoDB, Redis, RabbitMQ, and database high availability/failover.
Linux/Unix, Bash or PowerShell scripting, Kubernetes networking, Ingress, and Gateway API.

Nice to Have

LlamaIndex, LangChain, AI/ML platforms, or KDB.AI.
Temporal.io workflow orchestration.
Python or Go automation experience.

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More about this job

Responsibilities

Deploy and operate AI/ML applications across development, QA, and production environments, managing Kubernetes clusters, Helm charts, manifests, and GitOps workflows. Maintain CI/CD and secrets-management systems, administer databases, troubleshoot production issues, monitor performance, and document operational standards and procedures.

Requirements

Requires at least three years of production Kubernetes experience and at least two years using GitOps tools such as Flux CD or ArgoCD. Candidates should have advanced Helm, Vault, CI/CD, container registry, database high-availability, Linux/Unix, scripting, and Kubernetes networking experience; AI/ML platforms, Temporal.io, and Python or Go are advantageous.

Skills

Kubernetes
GitOps
Flux CD
ArgoCD
Helm
CI/CD
HashiCorp Vault
ExternalSecrets
Microsoft Entra ID
PostgreSQL
MongoDB
Redis
RabbitMQ
Linux/Unix
Bash
Kubernetes Networking

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Infrastructure
Kubernetes
GitOps
Flux CD
ArgoCD
Helm
Kubernetes Manifests
CI/CD
GitHub Actions
Artifactory
HashiCorp Vault
ExternalSecrets
OIDC
Microsoft Entra ID
PostgreSQL
MongoDB
Redis
RabbitMQ
Database High Availability
Failover
Linux/Unix
Bash
PowerShell
Kubernetes Networking
Ingress
Gateway API
LlamaIndex Cloud
KDB.AI
Temporal.io
Python

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