Senior DevOps Engineer – Industrial AI Cloud

Role Overview

• Design, develop, test, implement and support ICT components and applications in order to deliver quality standard product portfolio on AI Factory Cloud platform.
• Develop concepts, processes and methods for automation, optimization, and standardization to satisfy efficiency and automation requirements.
• Consult and provide advice or information at request or at own initiative to all relevant employees or customers regarding technical aspects of products.
• Consult and provide project deliverables to fulfil the project scope.
• Consult and implement new innovative technologies to satisfy innovation strategy.
• Owns responsibility for maintenance & support of enhancement of the Product pipelines with further levels of value chain, connecting pipeline to different platforms and infrastructures, integration of different platforms and infrastructures into the pipeline, root-cause analysis of pipeline runtime errors.
• Provide overall solutions and principles in planning, developing, and implementing new products to satisfy business requirements.
• 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.
• Creates concepts for further automation of services, processes, and/or operating models.
• Act as key technical lead and solve and coordinate activities across related technologies/outside own team.
• Provide consulting services to project teams on areas of expertise.
• Setups and manages integration with partner applications.
• Research and development in assigned technology, determine business requirements, propose changes and develop implementation plans.

Requirements

• Have Master`s degree in Information technologies
• 4+ years
• Experience in the design and delivery of systems based on IaaS, PaaS and SaaS
• 2+ years
• Experience in building CI/CD pipelines and serverless architectures
• AI Factory Cloud platform sw stack knowledge incl. its dependencies on below layers
• 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 (VMware Tanzu Kubernetes)
• Experience with scripting languages (Go/Python/Bash)
• Experience with Automation tools and automation deployments (Ansible/Salt-stack/Terraform/Helm)
• Experience with CI/CD in a Kubernetes environment and repository management
• Experience in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD
• 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 speak English
• Advanced (C1), German is an advantage
• Project Management
• Basic
• Leadership skills
• Basic
• Quality management
• Intermediate
• Financial literacy
• Intermediate

Tech Stack

• Ansible
• Cloud
• Grafana
• Kubernetes
• Linux
• Prometheus
• Python
• SaltStack
• Terraform
• VMware
• Go

Benefits

• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work – life balance
• Other benefits