Lead DevOps Engineer
Tasks
- Apply security measures to AI pipelines and cloud infrastructure
- Automate ML model deployment pipelines
- Build CI CD for AI workflows
- Design scalable fault-tolerant systems
- Drive infrastructure cost optimization
- Evaluate and introduce new technologies
- Implement distributed training and data pipelines
- Implement monitoring, logging, alerting
- Lead self hosting infrastructure transition
- Manage observability and metrics
- Mentor teams and establish DevOps best practices
- Optimize AI model deployment and scaling
Perks/Benefits
- Flexible benefit plans
- Free online doctor consultations
- Fun events
- Holidays
- Learning and development fund
- Meal card
- Medical insurance
- Paid leave
- Paid sick leave
- Parental leave
- Tax exemptions
Skills/Tech-stack
API Gateway | AWS | AWS CloudFormation | AWS SageMaker | Alerting | Amazon EKS | Argo CD | Argo Workflows | Azure ML | Bash | Cloud platform | Compliance | ELK Stack | Elasticsearch | FinOps | GitHub Actions | GitOps | Go | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Grafana | ISO 27001 | Infrastructure as Code | Istio | Jenkins | Kafka | Kubeflow | Kubernetes | Kubernetes Engine | Linkerd | Logging | MLflow | Microsoft AKS | Microsoft Azure | Monitoring | Observability | OpenTelemetry | Prometheus | Python | SOC2 | Service Mesh | Terraform | Vertex AI | “as-code”
Education
N/A
Roles
Cloud Infrastructure Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Infrastructure Engineer | SRE | SRE Engineer
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