- Implement our data engineering, machine learning and API projects. This includes but is not limited to cloud architectures, containers, serverless, pipelines and code reviews
- Define and implement relevant controls to secure cloud workloads and associated processes
- Promote an automation approach to ensure consistent and transparent execution (test automation, code review etc.)
- Be a trusted liaison with Cartier product teams, Richemont Cybersecurity and Group Technology teams
- Be autonomous and proactive; able to understand functional and technical requirements, identify gaps and suggest improvements
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 3 years of relevant industry experience in a major cloud platform
- Hands-on technical expertise in Security, Architecture, Automation, Integration, and Deployment (DevOps methodology)
- Coding experience in one or more general purpose languages (Java, Python)
- Strong verbal and written communication skills and ability to share technical ideas in business-friendly language
- Master's degree in Computer Science or related field
- At least 3 years of relevant industry experience in Google Cloud Platform
- Good understanding of Google Cloud architecture from foundation blocks to workload types
- Strong hands-on experience with infrastructure-as-code automation with Terraform and Git
- Knowledge of Apache Airflow / GCP Composer, DBT and container technologies
- Good understanding of SDLC processes (Agile, DevOps), cloud operation and support (ITIL) service delivery with hands-on ability to implement best practices or suggest improvements
- Have one or more cloud certifications such as Google Cloud Data Engineer and/or Google Cloud Architect
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