IT Manager - Platform Engineering & Data Science
Core
Lead platform engineering, cloud architecture, and MLOps capabilities to enable scalable AI, machine learning, and software delivery across the enterprise.
Role type
Manager, Platform Engineering & Data Science
Builds
Scalable, secure, and reliable platform capabilities on GCP and hybrid-cloud environments
Domain
Enterprise Technology / Cloud Infrastructure / AI & Data Science
Deliverable
production ML models | infrastructure | product features
Required skills
Platform engineering leadership, Cloud architecture (GCP), DevSecOps, CI/CD pipeline development, MLOps, Software programming (Java/Python), Software architecture, Data analytics enablement
Preferred skills
Machine learning implementation, Data science workflow enablement, Cloud-native tooling (Vertex AI, BigQuery), APM and Data Logging solutions (AppDynamics, DataDog), Offshore/onsite consultant management
Technologies
Google Cloud Platform (GCP), Azure, Vertex AI, BigQuery, AppDynamics, DataDog, Java, Python
Responsibilities
Lead and develop a high-performing team of platform engineers and architects; Define and execute the platform engineering and data science roadmap; Design and optimize scalable platform capabilities across GCP and hybrid-cloud; Partner with AI and Data Science teams to enable solution deployment; Drive DevSecOps, CI/CD, and platform reliability standards; Own and enhance MLOps capabilities for model development and monitoring; Establish engineering standards and reusable platform services; Lead platform modernization and legacy technology retirement; Manage project delivery, budgets, and vendor relationships; Supervise platform performance, security, and scalability; Build partnerships with business and technology leaders; Stay ahead of emerging cloud and AI technologies
Seniority
Manager, hands-on IC with team leadership
