Cloud Infrastructure Engineer — AI-Driven Compute

Teradata Corporation (SE); Columbus (OH); On-site; USD 132,900 - 199,300; Full time

Job summary

Teradata Corporation (SE) is seeking engineers to join a small advanced research team under the Office of the CTO. You will work on the foundational compute layer—how resources are provisioned, configured, and optimized across bare metal, VMs, containers, and cloud platforms.

You will help shape runtime characteristics, tuning CPU, memory, storage, and network use, with a focus on scalability, efficiency, and predictability.

Qualifications

• Experience working at the systems or infrastructure layer, including OS behavior, runtime environments, or low-level system interactions.
• Experience operating Kubernetes (or similar systems), including scheduling behavior, node-level characteristics, and cluster lifecycle concerns.
• Familiarity with containerization, virtualization, and infrastructure provisioning across cloud and on-premises environments.
• Experience designing systems intended to run across multiple environments, with portability and consistency in mind.
• Understanding of distributed system behavior, particularly how resource constraints affect performance and scalability.
• Experience with observability, profiling, or performance analysis at the system level.
• Comfort working in environments where system design and direction are actively evolving.

Responsibilities

• 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.
• Design repeatable, auditable provisioning and deployment workflows using infrastructure-as-code tools (e.g., Terraform, Pulumi, or similar).
• Shape runtime characteristics such as startup behavior, workload placement, and resource efficiency as systems scale.
• Identify and resolve bottlenecks across I/O throughput, network behavior, and provisioning performance.
• Use AI-assisted tools to explore and accelerate implementation, refining outputs into production-ready infrastructure.
• Collaborate with control plane engineering to establish a clear and stable foundation for higher-level services.

Skills

Systems/infrastructure

Kubernetes

Containerization

Multi-environment design

Distributed systems

Observability & profiling

AI-assisted development

Communication across teams

Tools

Terraform

Pulumi

Infrastructure as Code

Job description

Teradata Corporation (SE) is seeking engineers to join a small advanced research team under the Office of the CTO. You will work on the foundational compute layer—how resources are provisioned, configured, and optimized across bare metal, VMs, containers, and cloud platforms.

You will help shape runtime characteristics, tuning CPU, memory, storage, and network use, with a focus on scalability, efficiency, and predictability.