Cloud Control Plane Engineer

Our company

At Teradata, we believe that people thrive when empowered with better information.

Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes.

With Teradata, organizations can provide agents with full context for impact when it matters.

Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach.

Teradata delivers real business value with AI.

Join a small advanced research team within the Office of the Chief Technology Officer focused on shaping the next generation of Teradata’s platform.

This role centers on the foundational layer of the system—how compute actually runs.

You’ll work close to the hardware and operating system boundary, shaping how resources are provisioned, configured, and optimized across environments spanning bare metal, virtualized systems, containerized platforms, and major cloud providers.

Rather than operating within a fixed platform, you will help define how systems behave at runtime.

The environments you design are intended to support highly scalable, performance-sensitive workloads, where efficiency, predictability, and resource utilization matter.

This is work where resource behavior is not abstract—how scheduling, memory, and I/O interact directly determines whether the system performs or degrades.

AI-assisted development is a core part of how this team operates.

You’ll use AI tools to rapidly explore ideas, generate implementations, and iterate on system designs.

This enables you to operate with the leverage of a much larger team while ensuring systems behave correctly in production.

You’ll work with significant ownership in a small team, using AI-assisted development tools to explore, build, and refine systems with the leverage of a much larger organization—while maintaining direct accountability for how those systems perform under real conditions.

• Own and evolve how compute infrastructure is provisioned and operates across heterogeneous environments, including bare metal, VMs, containers, and cloud platforms
• Define and tune system-level behavior across CPU, memory, storage, and network, including how workloads are scheduled and resources are utilized