aijobs.net

Lead Site Reliability Engineer - AI Platforms

Primary location: Bengaluru, India

INR 3000K-5000K (estimate) Senior-level Full Time

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Found 1d ago
Tasks
Perks/Benefits
Skills/Tech-stack

ADLS | API Gateway | AWS | Alerting | ArgoCD | Auto Scaling | Azure | Azure Machine Learning | Backup and Recovery | Bash | BigQuery | Business Continuity | CDN | CI/CD | Cause analysis | Cloud platform | CloudFormation | DNS | Databricks | Datadog | Disaster Recovery | Docker | ELK Stack | Encryption | Envoy | Event Hub | Failover | FastAPI | GCS | GitHub Actions | GitLab CI | GitOps | Google Cloud | Google Cloud Platform | Grafana | Helm | IAM | Incident Management | Infrastructure as Code | Istio | Jenkins | KMS | KServe | Kafka | Kong | Kubeflow | Kubernetes | Langchain | Langgraph | Linkerd | Load Balancing | Load balancers | Logging | MLflow | Machine Learning | Monitoring | Nginx | Observability | OpenTelemetry | Powershell | Prometheus | PubSub | Pulumi | Python | RBAC | Ray Serve | Root Cause Analysis | Root cause | S3 | SageMaker | Secrets management | Seldon | Snowflake | Terraform | Tracing | Triton | Vault | Vertex AI | Zero Trust | “as-code”

Education

N/A

Roles

DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer | Reliability Engineer | Site Reliability Engineer

Regions

Asia/Pacific

Countries

India

States

Karnataka, IN

Cities

Bengaluru, Karnataka, IN

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