Our company
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You Will Do We are looking for a mid-level engineer who will be responsible for delivering robust, performant and resource-efficient Public Cloud (AWS, Azure, Google Cloud) Platform Infrastructure for demanding Teradata analytic and AI workloads. This is a critical role for providing our customers with Teradata Cloud Platforms they can count on to be highly available and performant.
You will be responsible for
Deploying and configuring Teradata Public Cloud systems.
Characterizing/Tuning infrastructure performance and resource utilization/efficiency (CPU/Storage/IO/Network).
Stressing infrastructure up to, and beyond, manufacturer limits to probe for weaknesses to ensure robust and performant infrastructure under intense Teradata analytic and AI workloads.
Developing automation for analyzing, characterizing and monitoring system behavior based upon changes in configuration and underlying technologies.
Solving unique and complex problems that have a broad impact on the business.
Working with infrastructure providers to understand and resolve issues.
Supporting Teradata customer field issues related to platform robustness/availability, performance and configuration/deployment.
Who you will work with
You will join a high-performing engineering team working with
Teradata Advanced Development, Architects and Product Management to understand system requirements and test new platform infrastructure capabilities.
Cloud infrastructure providers to understand and help influence roadmaps; and to resolve functional, robustness and performance issues.
Teradata Customer Support and Operations to support customer field issues.
What makes you a qualified candidate
Experience with Public Cloud (AWS/Azure/GC) Computing Infrastructure.
Experience with Linux OS and command line.
Bachelor of Science degree in Computer Science, Computer Engineering, or related discipline with 5+ years of relevant experience.
Master’s degree in Computer Science, Computer Engineering or related discipline with 3+ years of relevant experience.
PhD in Computer Science, Computer Engineering, or related discipline.
What you will bring
You will be a preferred candidate if you have
Scripting (e.g., creating and modifying test cases to create targeted configurations and workloads).
Experience with Teradata Vantage Cloud or On-Prem solutions such as IntelliFlex,
Vantage on VMWare, or Teradata AI Factory.
Experience in public cloud environments – AWS, Azure or Google Cloud.
System deployment and configuration
Performance and resource (CPU/Storage/IO/Network) characterization and tuning.
Stress infrastructure up to, and beyond, manufacturer limits to probe for weaknesses to ensure robust infrastructure under intense workloads.
Problem Solving: Analysis and troubleshooting, collecting data, establishing facts, and drawing valid conclusions to identify the root cause of an issue and resolving it.
A proactive and solution-oriented mindset with a passion for technology.
Creativity and adaptability in a dynamic environment.
Effective documentation, communication and knowledge sharing skills.
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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