Senior DevOps Engineer – Industrial AI Cloud
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Job Description
Senior DevOps Engineer managing development for AI Factory Cloud platform in partnership with NVIDIA. Focus on AI solutions, infrastructure management, and CI/CD pipeline enhancement.
Responsibilities:
- 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
- Have 4+ years of experience in the design and delivery of systems based on IaaS, PaaS and SaaS
- Have 2+ years of 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
- Possess solid knowledge of Kubernetes (or similar) container-based technologies
- Have experience with VMware environments (VMware Tanzu Kubernetes)
- Have experience with scripting languages (Go/Python/Bash)
- Have experience with Automation tools and automation deployments (Ansible/Salt-stack/Terraform/Helm)
- Have experience with CI/CD in a Kubernetes environment and repository management
- Have experience in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD
- Have experience with Linux OS
- Have experience with Software Defined Networking (SDN)
- Have experience with monitoring and visualization tools (Grafana, Prometheus, …)
- Have good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills
- Speak English at C1 level, German is an advantage
- Possess Project Management overview on basic level
- Have basic Leadership skills
- Have intermediate overview of Quality management and Financial literacy
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
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