Lead DevOps/AIOps Engineer
Columbia, MD, United States
USD 160K-190K (estimate) Senior-level Full Time
Tasks
- Architect cloud native DevOps and MLOps architectures on GCP
- Build MLOps capabilities for model lifecycle
- Build and optimize CI/CD pipelines
- Design and operationalize data platforms on GCP
- Develop Infrastructure as Code deployments
- Drive production troubleshooting and root cause analysis
- Establish observability for data and ML platforms
- Implement secure scalable cloud infrastructure with IAM and networking
- Mentor engineers and lead DevOps and MLOps initiatives
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Alerting | Bash | BigQuery | CI/CD | Cloud Composer | Cloud Storage | Cloud platform | Dataflow | Dataproc | Docker | GKE | Git | Google Cloud | Google Cloud Platform | IAM | Kubeflow | Kubernetes | Logging | MLflow | Monitoring | Networking | Observability | Pub/Sub | Python | Reliability Engineering | Secrets management | Spark | Terraform | Vertex AI
Education
N/A
Roles
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