Enterprise AI Platform Engineer
Tasks
- Build internal developer platforms
- Configure audit logging
- Containerize applications
- Create infrastructure as code templates
- Create technical documentation and standards
- Design cloud infrastructure for AI systems
- Develop integration APIs
- Encrypt data in transit and at rest
- Implement CI/CD pipelines
- Implement secrets management
- Re architect AI prototypes for production
- Review prototypes for scalable solution architecture
- Set up monitoring and observability
- Support and mentor non engineering teams
- Train teams on DevOps practices
- Validate security compliance and regulatory requirements
Perks/Benefits
- 401k
- Dental insurance
- Flexible PTO
- Growth opportunities
- Medical insurance
- Open inclusive environment
- Vision insurance
Skills/Tech-stack
API Gateway | AWS | AWS IAM | Audit Logging | Azure | CI/CD | CloudFormation | Datadog | Docker | EKS | Encryption | GitHub Actions | Grafana | Infrastructure as Code | JavaScript | Jenkins | Kubernetes | Lambda | Langchain | Llamaindex | OAuth | Observability | PostgreSQL | Python | RAG | REST APIs | React | Redis | Secrets management | Terraform | TypeScript | Vue | Workato | Zapier | “as-code”
Education
N/A
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