Cloud Engineer, Consultant

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 Work

In this role, you will:

• Design, deploy and support scalable, secure, highly available, and reliable workloads across a multi-cloud presence (Azure, GCP, and AWS); analyze related technology requirements; oversee continuous improvement efforts

• Provide leadership for the migration of on-premises workloads to the cloud leveraging a cloud migration factory model approach; lead design efforts

• Apply GitOps/IaC concepts and related tooling to execute operations (Version Control Systems, Continuous Integration/Continuous Deployment, self-service automation platforms); actively advance team capabilities through mentoring

• Collaborate across a multi-functional team (DevOps model) in support of a product-centric organization

• Actively contribute to the development of cloud governance decision making and processes

• Participate in Agile methodology meetings and scrums.

• Manage Azure Cognitive Services, Databricks, SAS and other cloud-based platforms

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

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