Design, develop, test, implement and support ICT components and applications
Develop concepts, processes and methods for automation, optimization, and standardization
Consult and provide advice or information to relevant employees or customers
Consult and provide project deliverables to fulfil the project scope
Consult and implement new innovative technologies
Own responsibility for maintenance & support of enhancement of the Product pipelines
Provide overall solutions and principles in planning, developing, and implementing new products
Develop, and implement architecture of services based on AI Factory Cloud platform requirements
Mentor and train co-workers to spread knowledge level and develop their skills
Act as key technical lead and solve and coordinate activities across related technologies
Research and development in assigned technology

Master`s degree in Information technologies
5+ years in design and delivery of systems based on IaaS, PaaS and SaaS
3+ years in building CI/CD pipelines and serverless architectures
AI Factory Cloud platform sw stack knowledge
NVIDIA GPU-Accelerated server platform knowledge
Data Engineering, Data Transformation, Data Migration tools knowledge
Solid knowledge of Kubernetes (or similar) container-based technologies
Experience with VMware environments
Experience with scripting languages (Go/Python/Bash)
Experience with Automation tools (Ansible/Salt-stack/Terraform/Helm)
Expert in automation with Git and CI/CD tools
Experience with Linux OS
Experience with Software Defined Networking (SDN)
Experience with monitoring and visualization tools (Grafana, Prometheus, …)
Good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills

Senior DevOps Engineer – Industrial AI Cloud, NVIDIA, Linux/Ubuntu

Key skills