
Cloud Architectural Specialist
1 week ago
Welcome to the world of cloud engineering, where technology meets innovation. As a key player in our organization, you will be responsible for laying the foundation of our projects on Google Cloud Platform (GCP).
With AI Platform Cloud Engineer responsibilities, you will have the opportunity to work on cutting-edge projects that leverage the power of AI and machine learning.
To succeed in this role, you should possess:
- A minimum of 6 years of experience in cloud engineering, with a strong understanding of cloud platforms and infrastructure automation.
- An in-depth knowledge of AI platforms, including Vertex AI and CoPilot, as well as proficiency in Terraform for infrastructure automation.
- Advanced skills in network and security principles, as well as a strong understanding of Linux operating systems (RHEL).
- Experience with DevSecOps practices, focusing on shift-left thinking and zero-touch automation, is highly desirable.
- A strong background in common architecture patterns and an understanding of AI/ML workflows.
In addition to these requirements, it would be beneficial to have experience with Scaled Agile Framework (SAFe), Behavior Driven Development (BDD), and programming languages like Python.
This is a unique opportunity to join a dynamic team and contribute to the development of innovative solutions using cloud-based technologies. If you are passionate about cloud engineering and have the necessary skills and experience, we encourage you to apply.
Key Responsibilities:
- Laying the foundation for our projects on Google Cloud Platform (GCP)
- Working on AI Platform Cloud Engineer responsibilities
- Developing and maintaining cloud-based infrastructure
- Collaborating with cross-functional teams to deliver high-quality projects
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