Staff Cloud Engineer

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.

This role is for a Staff Software Engineer in the Platform Services team within the Core Platform Software organization.
We build foundational platform and compute systems that enable scalable self-service experiences, AI/ML workloads, and distributed analytics workloads in the cloud. These platforms form the backbone for user-facing products and internal engineering teams, enabling reliable provisioning, execution, and lifecycle management of complex compute environments.
This is a senior individual contributor role focused on technical leadership, architecture, and building durable platform capabilities. It is not a DevOps or infrastructure operations role.

Key focus areas include:
* Platform and compute control-plane services supporting large-scale distributed systems
* Self-service and product-led platform foundations
* AI/ML and analytics execution platforms running on cloud-native compute
* Core orchestration, lifecycle, and state-management services with strong API design

• Lead design and architecture of core platform and compute services used across multiple products and teams
  * Build and evolve control-plane systems responsible for provisioning, scaling, and lifecycle management of distributed compute environments
  * Design and implement scalable backend services and APIs consumed by self-service and AI-driven workflows
  * Define architecture patterns, technical standards, and best practices for platform engineering teams
  * Drive design reviews and provide technical guidance across engineering teams
  * Tackle complex distributed systems problems related to scale, reliability, state, and failure handling
  * Partner closely with product, AI/ML, and UI teams to shape end-to-end system design
  * Mentor senior engineers and raise the overall engineering bar

• Proven experience designing and building large-scale platform or backend systems
  * Strong programming expertise in Python, Java, Go, or similar languages
  * Deep understanding of distributed systems and cloud-native architectures
  * Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP)
  * Experience designing APIs, control planes, or shared platform services used by multiple teams
  * Ability to lead technical initiatives end-to-end and influence architectural decisions
  * Strong problem-solving skills and systems-level thinking

• Experience building self-service platforms or internal developer platforms
  * Experience supporting AI/ML or analytics workloads at scale
  * Familiarity with distributed compute runtimes, schedulers, or container platforms
  * Experience with event-driven or workflow-based architectures

• Bachelor's degree in Computer Science, Engineering, or related field with 8+ years of industry experience
  * Advanced degree with 6+ years of experience

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