Infrastructure & DevOps Engineer (AI-Native) - Hybrid Cloud & On-Prem Systems

Monica Hijau Lestari is seeking a skilled Infrastructure & DevOps Engineer (AI-Native) to drive the transformation of our hybrid cloud and on-premises systems with advanced AI-Ops automation. Based in Tangerang Selatan, Banten, this role offers a unique opportunity to work with cutting-edge technologies and contribute to our AI-native infrastructure. You will be responsible for designing, deploying, and optimizing scalable infrastructure solutions that leverage AI to enhance operational efficiency.

As an Infrastructure & DevOps Engineer (AI-Native), you will work closely with cross-functional teams to ensure seamless integration of AI technologies into our existing systems. Your daily tasks will include automating infrastructure management, monitoring system performance, and implementing AI-driven solutions to streamline operations. This role is perfect for professionals with a passion for AI and a desire to innovate in the field of DevOps.

📋 Tanggung Jawab Pekerjaan

• Design, deploy, and optimize scalable infrastructure solutions using AI-Ops automation.
• Automate infrastructure management tasks to enhance operational efficiency.
• Monitor system performance and implement AI-driven solutions to improve reliability.
• Collaborate with cross-functional teams to integrate AI technologies into existing systems.
• Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.
• Implement and manage containerization solutions using Docker and Kubernetes.
• Ensure high availability and security of infrastructure through robust monitoring and alerting systems.
• Stay updated with the latest trends in AI and DevOps to drive continuous improvement.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5-7 years of experience in Infrastructure and DevOps roles.
• Proven experience with AI-Ops automation tools and technologies.
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Certifications in DevOps, Cloud Computing, or AI (e.g., AWS Certified DevOps Engineer, Microsoft Certified: Azure Solutions Architect, Google Professional Cloud DevOps Engineer).
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Strong problem-solving skills and a passion for continuous learning and innovation.

🛠️ Keahlian

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