Key Responsibilities

• Design, set up, and manage infrastructure on cloud platforms (AWS, GCP, Azure) or on-premise environments. 

• Develop and maintain CI/CD pipelines, integrating automated testing and deployment for software products and AI models. 

• Collaborate with development teams to package applications (Docker), manage containers (Kubernetes), and monitor system resources. 

• Monitor, log, and alert on system performance, stability, and security. 

• Automate operational tasks, optimize infrastructure costs, and ensure uptime for critical systems. 

• Support the deployment of AI services, big data processing, or APIs for machine learning models in production environments. 

• Create technical documentation and operational guides, assisting in troubleshooting. 

• Ensure compliance with security standards and internal information system regulations 

Job Requirements

Education & Experience 

• Bachelor’s degree in Information Technology, Computer Engineering, Information Systems, or equivalent. 

• Minimum of 3 years of experience as a DevOps Engineer, Site Reliability Engineer, or System Engineer. 

• Proficient in CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, ArgoCD, or equivalent. 

• Experienced in deploying and operating systems on cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes). 

• Proficient in shell scripting and at least one programming/automation language such as Python, Bash, or Go. 

• Knowledge of system monitoring configurations (Prometheus, Grafana, ELK/EFK stack, CloudWatch, etc.). 

• Preference for candidates with experience supporting big data systems, AI, or ML model processing pipelines. 

• Understanding of system security, IAM, SSL management, firewalls, data protection, and service security 

Soft Skills 

• Systematic thinking and efficient problem-solving skills. 

• Strong communication skills for collaboration with development and operations teams. 

• Meticulous and highly responsible, especially with production systems. 

• Continuous learning mindset and ability to stay updated with new technologies. 

• Ability to work independently and adapt flexibly to various infrastructure types 

• Competitive salary based on skills and experience. 

• Performance-based bonuses and recognition for contributions. 

• Advanced technical environment with opportunities to work on large-scale data systems and modern AI solutions. 

• Transparent and professional work culture, supporting long-term career development