Cloud Architect
Vor 4 Tagen
We are building the first NO-CODE AI PLATFORM for the construction industry, with the 3rd generation Explainable AI, that allows users to create a variety of AI use cases with zero coding at the frontend and neuro-symbolic AI under the hood.
Tasks
We are looking for a highly motivated and passionate AI Cloud Architect to drive our cloud strategy, architecture and processes.
- Use practices such as Infrastructure-as-Code (IaC), Continuous Delivery, Test-Driven Development and DevOps methodologies to establish a green-field cloud architecture, later integrating IoT and edge devices
- Design and implement efficient development, prototyping, training and production processes for machine learning engineers
- Drive the implementation of operational and infrastructure requirements
- Enable Self-Service and MLOps-DevOps best-practices for Software and ML Engineers
- Ensure performance, security, scalability, maintainability, reliability and reusability
- Be a cloud evangelist with customers, partners, and external communities
The technology will scale in public/private cloud across a rapidly increasing number of customers in multiple geographies, while processing and rendering large amount of data points.
**Requirements**:
- Bachelor’s / Master's degree in Computer Science, IT or similar and at 3 - 4 years of experience in cloud engineering and architecture
- Expert knowledge in areas like IaaS, PaaS and SaaS (Google Cloud Platform / cloud-native solutions)
**Hands-on experience in**:
- Operation of multi-cloud environments (GCP, AWS, Azure), incl. legal principles in the IT environment (e.g. GDPR)
- Setting up containerized environments, Docker and Kubernetes
- Designing, building, and running scalable distributed infrastructure
- Python and Bash scripting Certifications in the field of cloud technologies
- Design and implementation of concepts/architecture for private, hybrid and multi-cloud scenarios
- Relational cloud-based database technologies and proficiency in SQL
- Analyzing production workloads and developing strategies to run the database with scale and efficiency
- Scaling-up and scaling-out fragmented/distributed databases
- Technology stacks: Google Cloud Platform (GCP), Terraform, GitLab & GitLab CI/CD, NoSQL Databases, Docker & Kubernetes, Kubeflow, DVC
- Excellent communication skills in English
**Benefits**:
Competitive salary + ESOPs
Become a part of a growing start-up with global ambitions.
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