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Platform Engineer - AI/ML Infrastructure

  • Halifax, NS, Canada

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Job details

Posting language
English
Posted

Original job description

Platform Engineer – AI/ML Infrastructure, Kubernetes, GitOps & Helm

About the Role

We’re seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure and applications on Kubernetes. You’ll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.

What You’ll Do

  • Deploy and manage AI/ML applications and related platforms 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 teams 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.
  • Kubernetes networking, Ingress, and Gateway API.

Infrastructure & Database

  • PostgreSQL, MongoDB, Redis, RabbitMQ administration.
  • Database HA/failover configurations (PgBouncer, HAProxy).
  • Linux/Unix systems and shell scripting (Bash, PowerShell).

Nice to Have

  • Experience with AI/ML platforms and application frameworks.
  • Vector databases and related technologies.
  • Temporal.io workflow orchestration.
  • Python/Go for automation.

More about this job

Responsibilities

The Platform Engineer will deploy and run AI/ML applications on Kubernetes, automate releases through GitOps pipelines and keep clusters, databases and monitoring reliable. The role also writes runbooks and documents infrastructure patterns.

Requirements

Candidates need 3+ years running production Kubernetes clusters and 2+ years with GitOps tools such as Flux CD or ArgoCD. They also need strong Helm, Vault, CI/CD, Linux scripting and database administration skills.

Skills

  • Kubernetes
  • Flux CD
  • ArgoCD
  • GitOps
  • Helm
  • HashiCorp Vault
  • ExternalSecrets
  • GitHub Actions
  • Jenkins
  • Artifactory
  • Kubernetes networking
  • Ingress
  • Gateway API
  • PostgreSQL
  • MongoDB
  • Redis
  • RabbitMQ
  • PgBouncer
  • HAProxy
  • Linux
  • Unix
  • Bash
  • PowerShell
  • OIDC
  • Microsoft Entra ID

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Platform Engineer
  • Kubernetes
  • AI/ML infrastructure
  • Flux CD
  • GitOps
  • Helm
  • HashiCorp Vault
  • ExternalSecrets
  • GitHub Actions
  • Artifactory
  • CI/CD
  • Microsoft Entra ID
  • OIDC
  • PostgreSQL
  • MongoDB
  • Redis
  • RabbitMQ
  • PgBouncer
  • HAProxy
  • DevOps

Seniority

Senior

Tools

  • Kubernetes
  • Flux CD
  • Helm
  • HashiCorp Vault
  • GitHub Actions
  • Artifactory
  • Microsoft Entra ID
  • PostgreSQL
  • MongoDB
  • Redis

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