ProphetStor Data Services, Inc., a leader in the Digital Intelligence Data Platform, provides AI-enabled, application-aware, federated data services to enable 5G, edge computing, and MultiCloud to be more agile, automated, intelligent and orchestrated. Headquartered in US Silicon Valley, ProphetStor is looking for talents in Taipei and Taichung offices. You will be joining a growing company that is developing cloud products and services in the exciting field of AIOps for enterprises and service providers. Working with a group of highly motivated individuals, you will be part of the innovative team developing cloud native applications using Artificial Intelligence (AI) and Machine Learning (ML) technologies to assist in service orchestrations and optimization for cloud operations.

We are seeking for a cloud engineering professional with passion to build an AI-enabled service today, the ideal candidate should be eager to learn cloud-based emerging technologies, platforms, and applications, and has the ability to customize them to help our customers become more efficient.

This position will be responsible for:

- Develop, implement and maintain various algorithmic microservices, and work to improve their performance with Python/ Go and other technologies in Kubernetes.
- Implement performance evaluation services with machine learning related techniques for different types of cloud-native applications to predict the future workloads of the services, so that we can help DevOps to minimize the operation cost without without sacrificing system performance.

★The Successful Applicant★

Must have:

- 2+ years working experience in Linux based software development
- Familiar with Python or Golang
- Familiar with Docker/ Kubernetes, GIT
- Familiar with micro-services, network protocols programming

Nice to have:

- Experience on AWS, GCP or AZURE
- Experience with Machine learning technology
- Working knowledge of Agile software development practices.
- Experience in Jenkins or other CI/CD service

• Test for domain knowledge checking
• Candidate Self-introduction
• Product introduction
• Company status and working environment introduction.