Skills highlighted in blue are preferred key skills
Design for availability, access control, observability and operating efficiency. Support model inference, ai workflows, data preparation and service integration. Automate deployments and maintain consistent environments across stages. Assess response time, throughput, resource use and service reliability. Coordinate with devops, engineering and product stakeholders. Bring practical python plus aws or azure implementation experience. Work across python code, apis, cloud resources, storage and deployment components.
Opportunity for a Cloud Intelligent Systems Engineer to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company