As a skilled and experienced Cloud Enginner, you will collaborate with a broad range of colleagues; Data Scientists, Machine Learning Platform Engineers, DevSecOps Engineers, Cloud Engineers, Solution Architects, and Enterprise Architects. You will ensure the MLOps platform integrates seamlessly into our broader enterprise infrastructure and play a pivotal role in integrating our state-of-the-art Data Mesh across the organisation.
responsibilities :
Design and implement an innovative, cloud-agnostic, and vendor-agnostic platform architecture for MLOps
Develop comprehensive solution design documents
Manage and integrate multi-cloud environments using open-source methodologies
Create scalable, resilient, and secure cloud architecture designs
Utilize Infrastructure as Code (IaC) for cloud infrastructure deployment
Maintain CI/CD pipelines for infrastructure changes
Implement robust security measures and ensure compliance
Monitor and optimize cloud costs and performance
Design and implement disaster recovery plans and backup strategies
Provide expert support for cloud-related issues
requirements-expected :
Minimum a a bachelors degree within computer science, engineering or a related field
Extensive experience with cloud platforms (AWS, Azure, GCP) and in designing and implementing large-scale enterprise architectures
Good understanding of cloud architecture components, network virtualization, cloud security and automation
Excellent problem-solving and collaboration skills
Willingness to learn and grow in the MLOps field
Familiarity with open-source tools and multi-cloud methodologies
Experience with the following tech stack: Cloud Platforms: GCP, Azure, Cloud Infrastructure: GKE, AKS, Terraform, Data Management: Apache Beam, Kafka
