
Senior Cloud Engineer
2 weeks ago
This is an opportunity to work with a cutting-edge technology like Apache Ray, handling the operation, monitoring, and troubleshooting of production environments.
We are looking for a highly skilled individual to take on this role, with expertise in cloud computing, particularly AWS and GCP.
- Key Responsibilities:
- Operate and Monitor Production Environments: Ensure seamless performance of our systems, identifying and resolving any issues promptly.
- Cloud Deployment and Orchestration: Automate deployment and scaling of services across various cloud platforms.
- Capacity Planning and Disaster Recovery: Collaborate with teams to ensure robust capacity planning, scale testing, and effective disaster recovery strategies.
- Troubleshoot Customer Concerns: Provide timely support to resolve customer issues related to ML Tuning and inference endpoints on Ray.
- API Design and Implementation: Develop RESTful/RPC APIs using Golang or Python, focusing on scalability and efficiency.
- Error Budget Reporting: Implement SLO/SLI and error budget reporting for customers, ensuring transparency and reliability.
To succeed in this role, you will need:
- Strong Knowledge of Apache Ray: Proficiency in developing and deploying scalable applications using Ray.
- Cloud Computing Expertise: Experience working with AWS and GCP, including deployment, scaling, and security.
- Programming Skills: Strong proficiency in languages like Golang or Python, with experience in API design and development.
- Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively with cross-functional teams.
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