Cloud Engineer

The Cloud Engineer (m/f) is an adopter of virtualization, containers, and cloud infrastructure. You should love to automate everything that needs to be done more than once and will be in charge of migrating products using container technology such as Kubernetes and provisioning platforms such as vRealize Automation.

Your scope will also embrace reverse engineering of the legacy architecture and key flows, understand its key weaknesses and readiness such as security, reliability, simplicity, performance, operational agility, and automation. Design out the weaknesses, work hand in hand with the technical architects and operational teams.

Your profile:

• Bachelor’s degree in Computer Science or related field
• Strong experience with container provisioning platform such as Kubernetes
• Basic understanding of programming concepts.
• Preferably know one of the programming/scripting languages (Python, Javascript, Bash)
• Experience in integrating automation solutions e.g. VRO/VRA, Ansible, Jenkins, etc. in a larger chain
• Experience in using vSphere and/or Virtual Center products, GCP, AWS, Azure
• In-depth knowledge of computer networking and virtualization
• Working knowledge of cloud management platforms
• Ability to work and communicate in a multi-cultural environment
• Service-oriented mindset
• Ability to communicate in writing and verbally in a clear and concise manner
• Initiative, accuracy, and attention to detail
• Fluent in English (written and spoken) is essential
• Knowledge of ITIL functions and processes;
• Participate in the integration with collaborative tools and components
• Promote and follow prescribed project management guidelines for projects
• Maintain documentation for all operational / support processes for the systems supported; automate repetitive processes where appropriate
• Be ready to handle on-call support in a 24/7 manner and shift mode 7-19

Preferred Skills:

• Experience deploying and operating on public and private cloud framework
• Familiarity with service design in the context of cloud-based solutions
• Experience in Kubernetes architecture and Software engineering.
• Knowledge of performance analysis and distributed systems
• Experience with Continuous Integration processes
• Kubernetes certification is considered an asset