Staff/Senior Software Consultant - Azure, AKS, MLflow & Kubeflow
USD 140K-250K (estimate) Senior-level Full Time
Tasks
- Build and maintain CI/CD pipelines in GitLab
- Build fault tolerant ML serving infrastructure
- Create dashboards alerts and operational playbooks
- Define platform security controls and governance
- Design and operate ML infrastructure on Microsoft Azure
- Implement monitoring and observability for ML and LLM systems
- Implement scalable inference systems on AKS
- Maintain platform SLOs and incident processes
- Optimize compute utilization and operational cost
- Own and evolve MLflow and Kubeflow platforms
- Productionize ML and LLM systems with safe rollout and evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
AKS | ARM Templates | Active Directory | Audit Logging | Azure Active Directory | Azure Kubernetes | Azure Kubernetes Service | Azure Monitor | Azure Service | Azure Service Bus | Azure Storage | Bicep | CI/CD | Datadog | Dependency Scanning | Disaster Recovery | Elastic | GPU scheduling | GitLab | Grafana | HPA | Helm | IAM | Infrastructure as Code | Ingress Controller | KEDA | Kubeflow | Kubernetes | Kubernetes Service | LLMOps | MLflow | Machine Learning | Microsoft Azure | Monitoring | Network Segmentation | New Relic | Observability | OpenTelemetry | Prometheus | Python | Redis | Reliability Engineering | SRE | Secrets management | Service Bus | Site Reliability | Site Reliability Engineering | Terraform | VPA | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor's Degree
Regions
Countries
States
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