New! DevOps Cloud Engineer | AI Sandbox Innovation Lab

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Written by AI from the job title and company, not by Oracle, so some details may not match this job. The employer's own page has the real description.

Job Overview

The DevOps Cloud Engineer at Oracle's AI Sandbox Innovation Lab will play a pivotal role in designing, implementing, and managing cloud-based solutions that facilitate the development and deployment of AI technologies. This role will involve collaboration with cross-functional teams to optimize operational workflows, improve system reliability, and innovate cloud infrastructure that supports cutting-edge AI initiatives. The ideal candidate will leverage their expertise in DevOps practices to enhance our cloud environment while ensuring seamless integration of AI solutions.

Job Responsibilities

• Create and maintain CI/CD pipelines that optimize code deployment processes.
• Collaborate with software development teams to enhance operational efficiencies and streamline workflows.
• Design, implement, and manage scalable and reliable cloud infrastructure solutions.
• Monitor system performance and troubleshoot issues to ensure maximum uptime and efficiency.
• Automate repetitive tasks and improve system management processes using scripting and deployment tools.
• Participate in architecture discussions and contribute to design decisions regarding cloud services and infrastructure.
• Implement security best practices across cloud environments to protect sensitive data and resources.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in a DevOps role with a strong understanding of cloud platforms, preferably Oracle Cloud, AWS, or Azure.
• Solid knowledge of CI/CD tools like Jenkins, GitLab CI, or similar.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Proficiency in scripting languages (e.g., Python, Bash) to automate processes.
• Familiarity with configuration management tools such as Ansible, Chef, or Puppet.
• Understanding of networking concepts and security protocols in cloud environments.

Technologies & Tools

This position utilizes a wide range of technologies and tools critical to cloud infrastructure and AI development. Key technologies include Oracle Cloud Infrastructure (OCI), Kubernetes for container orchestration, Jenkins for CI/CD pipelines, and various automation tools such as Terraform for infrastructure as code. Additionally, candidates should be familiar with monitoring solutions such as Prometheus and Grafana, as well as security practices that ensure compliance and data protection.

Ideal Candidates

The ideal candidates for the DevOps Cloud Engineer position will exhibit a proactive and innovative mindset, coupled with strong problem-solving abilities. They should demonstrate excellent communication skills, allowing for effective collaboration within diverse teams. Additionally, successful candidates will be adaptable, eager to learn, and committed to continuous improvement in both personal skills and organizational processes. A strong passion for emerging technologies, especially in AI and machine learning, will set candidates apart as they contribute to the future of Oracle's AI initiatives.