As a Cloud DevOps Engineer, you will own the infrastructure for production AI systems, managing clusters, deployment pipelines, and ensuring system health and performance.
Cloud Engineer
📜 Description
- Design, develop, and deploy cloud-based applications.
- Manage and optimize cloud environments (AWS, GCP, Azure).
- Automate cloud infrastructure with IAC (Terraform, Ansible, CDK), CI/CD, and DevOps best practices.
- Troubleshoot and enhance cloud performance, security, and scalability.
- Educate and support teams on cloud adoption and best practices.
- Stay ahead of emerging cloud technologies to drive innovation.
🛠️ Requirements
- Hands-on experience with AWS, GCP, or Azure (multi-cloud preferred).
- Cloud certifications (AWS, GCP, Azure) are a plus.
- Proficiency with Terraform, Docker, Kubernetes, and CI/CD tools.
- Experience with distributed applications, APIs, and networking.
- Coding experience (Python, Java, or Go) is a plus.
- Strong problem-solving skills and a collaborative mindset.
- Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
- Experience with AI/ML-driven data solutions and real-time Cloud data processing.
Full job description
Responsibilities
Requirements
Preferred Qualifications
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