Senior Cloud Engineer (P3957)

8451 • Chicago, IL

70d

About The Position

We are seeking a Senior Cloud Engineer, AI Enablement with a data engineering background to join our AI Foundation Models team. The AI Foundation Models team will enable the data, science, serving, and scaling behind our proprietary AI models. You will design and operate cloud-native data workflows and feature pipelines that enable reproducible experiments and scalable, reliable deployments. This role collaborates closely with cross-functional teams of data scientists, research scientists, machine learning engineers, and product leads to curate datasets, instrument experiments, and harden prototypes for production. You will identify opportunities for AI integration and ensure our models and services enable development of scalable and robust AI systems. While this role is a cloud engineer, the ideal candidate will have a strong background in data engineering, data quality, and MLOps.

Requirements

• 4-year degree in a technology related discipline or equivalent work experience
• 3+ years of experience with public cloud technologies (Azure or GCP preferred) including demonstrated networking and security focus
• GCP Associate Cloud Engineer and/or Microsoft Azure Administrator Associate certifications preferred
• 3+ years of experience with container technologies (Docker, Kubernetes, Helm)
• 3+ years of experience with cloud automation tools (Terraform)
• 3+ years of experience with SDLC and working with Agile development teams
• Proficiency in Python and Pyspark a must
• Experience with Databricks a must
• Data engineering, data quality, and MLOps background is a must
• Experience with AI-related concepts a plus (RAG, fine-tuning, agent framework, LLMs, etc.)
• Ability to manage small IT-related projects, solving related problems and working to tight deadlines while under pressure
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
• Desire to learn new technology and grow across different areas of technology
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

Responsibilities

• Manage and enhance deployment of infrastructure using Terraform
• Manage and enhance ci/cd pipelines using Github Actions
• Interact daily with Azure and Azure services
• Define and implement SLAs and incident management procedures
• Independently define, prioritize and execute smaller project tasks and plans to deliver data pipelines
• Document work and solutions appropriately
• Engage with other technology and infrastructure teams as necessary to complete tasks
• Participate routinely in team on-call rotation during business hours

What This Job Offers

• Career Level: Senior
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees