Lead DevOps Engineer – AI & Data (Foundation Models)
Tasks
- Automate build deployment and release processes across environments
- Deploy and operate AI inference services batch jobs and data pipelines
- Design and maintain CI CD pipelines for AI and data workloads
- Embed security best practices into deployment pipelines
- Ensure high availability resilience and performance
- Implement monitoring, logging, and alerting
- Maintain infrastructure as code and promote DevOps best practices
- Manage and optimize cloud infrastructure for AI and data workloads
- Support Databricks environments and job orchestration
- Troubleshoot production issues and participate in incident response
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Alerting | Automated testing | CI/CD | CloudFormation | Databricks | Docker | IAM | Infrastructure as Code | Kubernetes | Least Privilege | Logging | Monitoring | Observability | Secrets management | Terraform | Version control | “as-code”
Education
N/A
Roles
DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer
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