Senior Cloud Engineer - GenAI Platform Engineering
Tasks
- Build and operate cloud infrastructure
- Conduct code reviews
- Define engineering approach for complex features
- Define technology tool stack
- Deliver complex features and technology
- Design end-to-end solutions
- Design implement and manage Kubernetes environments
- Develop and maintain deployment and release pipelines
- Develop automation for feature delivery
- Enable development efficiencies
- Engineer highly scalable cloud architectures
- Establish solution needs with stakeholders
- Evaluate release management and CI CD tools
- Evaluate testing tools frameworks and practices
- Guide design and best practices for performance
- Implement CI/CD capabilities
- Manage CI CD pipeline stakeholders
- Provide technical thought leadership
- Research design prototyping and exploration
- Secure scalable deployment of agent applications APIs and model serving
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS | Amazon Elastic Kubernetes Service | Autoscaling | Azure | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Cloud Architecture | Cloud platform | Containerization | Continuous Delivery | Continuous integration | Disaster Recovery | Distributed tracing | Elastic Kubernetes Service | Fault Tolerance | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | High Availability | Horizontal scaling | Infrastructure as Code | Kubernetes | Kubernetes Engine | Kubernetes Service | Load Balancing | Logging | Metrics | Microservices | Observability | Performance Tuning | “as-code”
Education
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer | Senior Cloud Engineer
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