Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
- Design, build, and maintain data pipelines integrating source applications such as Jira, ServiceNow, and Apptio into centralized databases and reporting platforms.
- Manage and optimize AWS infrastructure supporting Tech Enablement operations, including monitoring cloud notifications, instance management, and right-sizing recommendations.
- Support the development and maintenance of dashboards and scorecards by ensuring data accuracy, availability, and integrity at the source.
- Drive hybrid cloud cost optimization strategies across AWS and GCP environments.
Required Technical And Professional Expertise
- Proficiency in AWS and GCP cloud services, SQL, and Python required.
- Experience with data pipeline tools, ETL/ELT processes, and database management.
- Familiarity with Jira, ServiceNow, and Apptio as data sources preferred.
- Knowledge of cloud cost optimization practices, FinOps principles, and infrastructure monitoring.
- Exposure to AI/ML tooling or AI-assisted infrastructure management a plus.
- Understanding of security, compliance, and regulatory requirements such as SOX and cybersecurity best practices.
Preferred Technical And Professional Experience
- Evaluate and implement AI-enabled tooling and automation to enhance infrastructure management and data workflows.
- Collaborate with stakeholders to gather and define data requirements for operational reporting and financial scorecards.
