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Platform Engineer - Kubernetes, GitOps, Flux CD & AI/ML Infrastructure

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Summary

Platform engineer deploying and managing AI/ML workloads (LlamaIndex Cloud, KDB.AI) on Kubernetes across Dev/QA/Prod, building GitOps deployment pipelines with Flux CD, Helm charts, and Vault secrets management, plus CI/CD with GitHub Actions and Artifactory.

Roles and Responsibilities

We're seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.

You'll 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 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

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

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.

Skills

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See also

ML / AI jobs by country — openings, pay and top skills →

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