Job Description

We are seeking a skilled

Platform Engineer - AI/ML Infrastructure

to deploy, manage, and support AI/ML infrastructure across enterprise Kubernetes environments. The role will focus on deploying platforms such as

LlamaIndex Cloud and KDB.AI

and building reliable, scalable, secure deployment pipelines using modern

GitOps practices . The ideal candidate will have strong experience managing production Kubernetes environments, developing Helm charts, implementing GitOps workflows, managing secrets with HashiCorp Vault, and maintaining enterprise CI/CD infrastructure. Key Responsibilities

Deploy and manage

LlamaIndex Cloud, KDB.AI , and similar AI/ML applications across Dev, QA, and Production environments. Implement automated

GitOps workflows

using Flux CD, ArgoCD, or similar tools. Administer and maintain

production Kubernetes clusters

across multiple environments. Configure and manage

HashiCorp Vault

for secrets management and ExternalSecrets integration. Maintain CI/CD pipelines using

GitHub Actions, Jenkins , or similar platforms. Collaborate with the Enterprise Identity Management team to configure

OIDC authentication with Microsoft Entra ID . Create, maintain, and optimize

Helm charts and Kubernetes manifests . Configure Kubernetes networking, Ingress, and

Gateway API

components. Monitor application and infrastructure performance and troubleshoot production issues. Support database and middleware infrastructure, including PostgreSQL, MongoDB, Redis, and RabbitMQ. Implement and maintain database

high availability and failover configurations , including PgBouncer and HAProxy. Develop and maintain infrastructure documentation, procedures,



runbooks, and reusable infrastructure patterns. Identify opportunities to improve platform reliability, automation, scalability, and operational efficiency. Required Skills & Experience

Core Technologies

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 . Hands-on experience with

HashiCorp Vault

and secrets management. Experience with

Artifactory

or similar container registries. Strong experience with

CI/CD pipelines , particularly GitHub Actions, Jenkins, or equivalent tools. Infrastructure & Database

Experience administering

PostgreSQL, MongoDB, Redis, and RabbitMQ . Knowledge of database

HA/failover configurations , including PgBouncer and HAProxy. Solid Linux/Unix administration and

shell scripting

skills using Bash and/or PowerShell. Knowledge of

Kubernetes networking, Ingress, and Gateway API . Experience troubleshooting production infrastructure and application issues. Nice to Have

Experience with

LlamaIndex, LangChain , or other AI/ML platforms. Knowledge of

vector databases and KDB.AI . Experience with

Temporal.io

workflow orchestration. Programming/scripting experience with

Python and/or Go

for automation. Exposure to AI/ML infrastructure deployment and operational practices. Job Type

Full Time Job Category

IT Location

Location:

Halifax, NS Work Model:

Onsite / 4 Days Job Type:

Full Time Primary Skills

Kubernetes, GitOps (Flux CD/ArgoCD), Helm & Vault Required Skills

DevOps Engineer Senior Email Security Engineer

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📌 Platform Engineer - AI/ML Infrastructure (Winnipeg)
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📍 Winnipeg