84.51
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
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