Platform Engineer AIML Infrastructure
Posted:
24 October 2026 (Yesterday)
Application Deadline:
21 January 2027
Vacancies:
1 Vacancy
Job Summary
Platform Engineer AI/ML Infrastructure Kubernetes GitOps & Helm
About the Role
Were seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure and applications on Kubernetes. Youll be responsible for building reliable scalable and secure deployment pipelines using modern GitOps practices.
What Youll 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.
- workflow orchestration.
- Python/Go for automation.
Required Skills:
Salesforce