
AI Platform Automation Engineer
1 week ago
A seasoned DevOps professional is sought after to spearhead the development of an automated backbone for our AI platform.
- Design and maintain CI/CD pipelines to support rapid, reliable delivery of AI platform components and intelligent agents
- Implement Infrastructure as Code (IaC) and GitOps practices to manage scalable, secure, and reproducible environments
- Build and manage Kubernetes-based infrastructure, including custom operators and GPU workload orchestration
- Integrate MLOps tools and workflows to streamline the AI model lifecycle from training to deployment
- Deploy and maintain observability stacks for real-time monitoring, tracing, and alerting across distributed systems
- Enforce DevSecOps practices, including automated security scanning, policy-as-code, and compliance automation
- 5-7+ years of experience in DevOps, SRE, or platform engineering
- Expert with CI/CD pipeline design and tools (e.g., Jenkins, GitLab CI, ArgoCD, GitHub Actions)
- Deep Infrastructure as Code (IaC) experience (e.g., Terraform, CloudFormation)
- Expert-level Kubernetes administration and workload management, including custom controllers/operators
- Experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Seldon Core, Vertex AI Pipelines, SageMaker MLOps)
- Proficiency in implementing observability stacks (e.g., Prometheus, Grafana, Jaeger, OpenTelemetry, ELK)
We're a leading provider of complete IT infrastructure and security management solutions worldwide. Our best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success.
Benefits- This position is 100% remote.
We provide equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
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