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AI Platform Cloud Engineering Opportunity
2 weeks ago
We are seeking a seasoned Cloud Engineer to spearhead our Artificial Intelligence platform initiatives. This role involves leveraging expertise in cloud engineering to design, implement, and manage scalable AI infrastructure.
The ideal candidate will have extensive experience with cloud platforms, specifically Google Cloud Platform (GCP), and a strong understanding of AI/ML workflows. Proficiency in Terraform for infrastructure automation is essential, along with advanced knowledge of Linux operating systems (RHEL) and network security principles.
A proven track record of implementing DevSecOps practices, with a focus on shift-left thinking and zero-touch automation, is also required. Strong experience working with common architecture patterns and a deep understanding of AI/ML concepts are necessary for this role.
In addition to technical skills, the selected candidate will possess excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
This opportunity presents a unique chance for an experienced Cloud Engineer to drive innovation and growth in our organization's AI platform efforts.
Key Responsibilities:
- Leverage expertise in cloud engineering to design and implement scalable AI infrastructure
- Develop and maintain high-quality cloud-based applications and services
- Collaborate with cross-functional teams to identify and prioritize requirements
- Stay up-to-date with emerging trends and technologies in cloud computing and AI/ML
Requirements:
- Bachelor's degree in Computer Science or related field
- 10-11 years of experience in cloud engineering, with a focus on AI/ML
- Proficiency in Terraform, Linux, Ansible, Kubernetes, Vertex A, GCP, Cloud, AI
- Advanced understanding of network security principles and DevSecOps practices
Preferred Qualifications:
- SAFe certification
- Experience with Behavior Driven Development (BDD)
- Basic knowledge of programming languages like Python