Staff Software Engineer Cloud and AI

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.

What You’ll Do We are looking for an exceptional Staff Cloud & AI Platform Engineer to own and independently build a next‑generation enterprise‑scale deployment and orchestration platform.

This role goes far beyond traditional CI/CD or infrastructure automation—it sits at the intersection of distributed systems, control‑plane architecture, SRE principles, and applied AI/agentic workflows.

Contribute to the design and implementation of a stateful deployment control plane that treats deployments as a continuous convergence problem.

Enable safe, resumable, deterministic, and SLO‑governed rollouts across multi‑cloud, on‑prem, and customer environments.

Implement the practical application of AI agents in DevOps by embedding intelligent decision‑making into deployment workflows.

Apply AI agents for anomaly detection, failure diagnosis, rollout control, and automated mitigation.

Ensure all AI‑assisted workflows preserve correctness, determinism, and full auditability.

This is a high‑impact individual contributor role requiring deep technical judgment, delivery ownership, and the ability to turn abstract design into production‑grade systems.

Design and implement a stateful deployment control plane with deterministic, resumable execution and rollback support.

Build deployment workflows that reconcile desired vs. actual state using durable control loops.

Support multi‑cloud, on‑prem, and customer environments with a single orchestration framework.

Implement SLO‑governed promotion gates, error‑budget checks, and bounded retry policies.