Lead DevOps Engineer
Tasks
- Apply DevOps and MLOps best practices
- Automate ML deployment with CI CD
- Build high-throughput data pipelines
- Deploy and scale AI models
- Design scalable fault-tolerant systems
- Ensure security for AI data pipelines
- Evaluate and implement new technologies
- Implement monitoring, logging, and alerting
- Mentor DevOps and ML teams
- Transition to self hosted services
Perks/Benefits
- Flexible benefits plans
- Holidays
- Learning and development fund
- Meal card
- Medical insurance
- Online doctor consultations
- Paid time off
- Parental leave
- Provident fund
- Sick leave
Skills/Tech-stack
API Gateway | AWS | Amazon EKS | Amazon SageMaker | Argo CD | Argo Workflows | Azure Kubernetes Service | Azure Machine Learning | Bash | Cloud platform | CloudFormation | ELK Stack | Elasticsearch | FinOps | GitHub Actions | Go | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Grafana | ISO 27001 | Istio | Jenkins | Kafka | Kubeflow | Kubernetes | Kubernetes Engine | Kubernetes Service | Linkerd | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure Kubernetes Service | OpenTelemetry | Prometheus | Python | SOC 2 | Service Mesh | Terraform | Vertex AI
Education
N/A
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Reliability Engineer | Site Reliability Engineer
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