Lead Cloud Engineer (p990)

Lead Cloud Engineer

This role will operate within our technology organization, working across multiple product areas and business domains. The Senior Engineer will play a critical role in shaping technical architecture, driving modernization efforts, and enabling cross-functional collaboration across teams. With a focus on cloud engineering (Azure), Databricks, API development, Snowflake, and artificial intelligence/machine learning (AI/ML), this role will help set the technical direction for the organization while providing hands-on implementation and mentorship.

The ideal candidate is both a strategic thinker and a doer, capable of diving deep into legacy systems, modernizing them, and driving adoption of new technologies and practices across the organization. Additionally, this role will focus on scaling AI/ML capabilities across the enterprise, developing proof of concepts (POCs), and enabling teams to leverage machine learning for impactful use cases.

This role will require working across the stack — from understanding legacy components to building entirely new solutions with organization-wide impact. A key focus will be enabling migrations to the cloud, scaling AI/ML models, and supporting "day 2" operations with a customer-enablement mindset. The goal is to empower teams to solve their challenges using common tooling and shared solutions, while reducing duplication of effort and driving enterprise-wide efficiency.

Responsibilities include:

• Technical Leadership
• Cloud, Data, and AI Modernization
• AI/ML Enablement & POCs
• Mentorship & Enablement
• Proof of Concept & Implementation
• Incident Management & Continuous Improvement
• Standardization & Tooling Optimization

Qualifications, skills, and experience include:

• Education & Work Experience
• Technical Expertise
• AI/ML Experience
• Cross-Functional Collaboration
• Problem Solving & Innovation
• Certifications & Tools

Technologies in use (for reference):

• Cloud: Azure (preferred), AWS, GCP
• Data: Snowflake, Databricks, Azure Data Factory
• AI/ML: Azure Machine Learning, MLflow, TensorFlow, PyTorch
• Automation: Terraform, Helm
• Monitoring & Logging: Datadog, Grafana, Prometheus, Dynatrace
• CI/CD & DevOps: GitHub Actions, Harness CD, Artifactory

Pay Range: $121,000 - $218,750 USD