Senior Staff Engineer, Agentic Databases

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. As a Senior Staff Engineer, you will own the design and delivery of one or more of our core Agent Services — Agent Memory, LLM Cache, Semantic Context Layer — from technical design to production launch. You will write the spec, build against it, and hold the system accountable to it in production. The Agentic Databases team is building a cloud-native, enterprise-grade operational database purpose-built for AI agents.

Responsibilities

Own the design and delivery of one or more core Agent Services (Agent Memory, LLM Cache, Semantic Context Layer) from technical design to production launch; Full technical ownership of an Agent Service including data model, API surface, core logic, and production end-to-end; Lead the most critical cross-functional technical efforts by breaking down ambiguous problems and building consensus; Function as both a problem solver and a problem finder to identify gaps before they become production incidents; Balance long-term system health with immediate shipping needs and document trade-off decisions; Ensure production readiness by defining SLOs, instrumenting critical paths, writing runbooks, and meeting customer commitments; Set the technical bar in code review, design review, and on-call; Mentor engineers on Postgres internals, distributed systems design, and agentic workload patterns

Requirements

10+ years building and operating large-scale distributed systems, databases, or cloud data infrastructure in production; Solid working knowledge of Postgres including query planning and execution, MVCC, WAL, vacuuming, replication, and the extension model; Strong systems programming experience in C or C++; Proficiency in at least one higher-level language (Go, Ruby, or Python) for control plane and tooling work; Experience building high-availability, multi-tenant, or highly distributed data systems in cloud environments; Comfort navigating large, complex codebases and leading cross-team architecture efforts; An AI-native working style, actively using AI in engineering work and thinking about how systems will be used by agents rather than humans; A track record of driving projects from concept to production with measurable impact; Excellent communication skills and the ability to influence across engineering and product without relying on authority; BS/MS in Computer Science or a related field, or equivalent depth demonstrated through production work

Nice to have

Ruby experience is a strong plus

Benefits

Flexible work model; health care; life and disability insurance; retirement savings; 401(k)-retirement savings plan; time-off programs; annual incentive plans