DevOps and Cloud Architect

IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

IBM Cognitive Asset Engineering Services is looking for a motivated and seasoned DevOps and Cloud Architect to our global team to deliver outstanding results for both internal/external clients and build a robust and repeatable product offering. You will be working in one of the top 10 assets in the group with highly collaborative teams in a dynamic and agile environment.

The IBM Consulting Modern Data Accelerators provides the foundation of data and analytics to enable business outcomes through the creation of cloud and hybrid cloud environments. It manages: Curation, Ingestion, Ingestion/Curation, Metadata, Operational Controls, Persist & Publish, and Data Security.
You will directly collaborate with CTO of the asset, architects, development leaders, system administrators, and testers who both enhance the product and establish and govern the architectural, development, and testing processes used across the organization.

Your Role and Responsibilities

• Manage and maintain the hybrid cloud infrastructure for the data platform and applications.
• Automate data ops
• Automate deployments with CI/CD pipelines.
• Monitor and troubleshoot infrastructure and application issues.
• Collaborate with all development teams on infrastructure needs.

Required Technical and Professional Expertise

• Expertise in cloud platforms (AWS, GCP, Azure) for data and application infrastructure design and monitoring.
• Experience with CI/CD methodologies.
• Understanding of monitoring and logging tools for infrastructure and application health.

Preferred Technical and Professional Expertise

• Knowledge of Model Ops practices on cloud and containerization
• Familiarity with design lead development methodologies in complex data platforms and analytics