Your Role
The Advanced Analytics team for delivering Predictive and Prescriptive Analytics, GenAI applications and advanced statistical models to our business users. The Cloud Engineer will report to the Director of Advanced Analytics. In this role you will design, build and maintain continuous integration / continuous delivery (CI / CD) pipelines with embedded testing to effectively secure and deploy cloud-based workloads. Design infrastructure and implement automation using infrastructure-as-code solutions and build automation for routine, simple, and complex tasks.
Your Knowledge and Experience
Requires 7+ years hands-on administration and design experience of a wide array of cloud services across Azure, GCP, and AWS
Experience working in DevOps environments; knowledge of GitOps concepts
Requires 5+ years of hands-on programming / scripting (e.g., Python, Go, Ruby) and software configuration management experience (e.g., Ansible)
Requires 5+ years of Linux and / or Windows Administration experience
Requires 3+ years of hands-on experience administering container orchestration solutions
Requires 5+ years of hands-on experience administering monitoring and logging tooling (e.g., Azure Monitor, Splunk)
Requires experience / understanding of cloud architecture solutions and design for data, machine learning, artificial intelligence.
Should have thorough understanding of Data-lakes raw / enriched / curated layer concepts and ETL within Azure framework.
Requires Experience in implementing large data and analytics platforms.
Requires Experience architecting and building data platforms on Azure.
Requires Experience architecting and building data platforms on Data bricks from scratch.
Requires Extensive hands-on experience with (minimum of 6-8+ years) Azure Databricks, Unity Catalog, Delta Lake and Azure Cloud Architecture
#LI-CP3
Cloud Engineer • San Diego, CA, United States