Software Engineering & Development, SrAssc
Tasks
- Automate environment provisioning application deployment and operations
- Build Infrastructure as Code modules
- Build deploy and support enterprise AI platform services
- Configure AI observability and performance monitoring
- Configure namespaces RBAC ingress controllers service mesh and networking
- Create CI/CD deployment pipelines
- Deploy manage and troubleshoot multi tenant Kubernetes clusters
- Develop operational automation and AIOps
- Enable RAG pipelines and vector database integrations
- Implement CI CD for AI and ML solutions
- Implement monitoring with industry standard platforms
- Implement scalable secure highly available cloud infrastructure
- Monitor cluster health performance security and capacity
- Provision cloud infrastructure with Terraform
- Set up dashboards alerts and observability solutions
- Support automated root cause analysis and anomaly detection
- Support autoscaling workload scheduling cluster upgrades and resiliency
- Support model deployment versioning monitoring and lifecycle management
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Foundry | AKS | AWS | AWS Bedrock | AWS CloudWatch | AWS IAM | AWS Lambda | AWS SageMaker | AWS VPC | Amazon ECR | Amazon S3 | Autoscaler | Autoscaling | Azure | Azure AI | Azure AI Foundry | Azure Entra | Azure Entra ID | Azure Key Vault | Azure Machine Learning | Azure Monitor | Azure Networking | CI/CD | Databricks | Docker | EKS | Entra ID | Helm | Infrastructure as Code | Ingress Controller | Key Vault | Kubernetes | LLMOps | Linux | MLOps | MLflow | Machine Learning | OpenAI | RAG | RBAC | Service Mesh | Shell Scripting | Terraform | Vector Database | “as-code”
Education
N/A
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