Principal Engineer

As a Principal Engineer, you will play a key role in designing and delivering highly scalable, next generation Database products within our Database Marketplace. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata's DB capabilities.

Responsibilities

Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance; Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features; Storage layer evolution: work on page management, durability guarantees, and consistency semantics across disaggregated compute-storage topologies; Write path and recovery: extend the logging and recovery subsystem for multi-node and branching workload patterns; Concurrency and isolation: build visibility and isolation semantics for non-linear, multi-context execution patterns; Executor-storage interface: own buffer management, prefetch behavior, and cost model correctness when storage is remote; Agentic tooling: use AI coding agents critically on a large C/C++ codebase; Technical leadership: drive implementation-level decisions across global engineering teams

Requirements

Bachelor's / Master's / PhD degree in Computer Science or equivalent from a recognized institution; 15+ years of experience on backend services, distributed systems, or data platform development; Strong proficiency in C, C++, Rust for development; Internals experience with PostgreSQL or postgres based relational engine (source-level, not API-level); Deep understanding of the WAL write path, checkpointing, and crash recovery mechanics; Ability to trace and resolve concurrency anomalies through the engine's MVCC implementation; Clear mental model of where traditional storage assumptions live in the executor and buffer manager; Practical experience with AI coding assistants on production systems engineering work

Nice to have

Deep expertise in systems or database engineering, with meaningful time spent inside a relational engine at the source level; Demonstrated contributions to PostgreSQL or an equivalent open-source engine (patches, extensions, or fork-level work); Production experience with storage or replication subsystems under real failure conditions; Comfort operating across distributed teams with high autonomy and low process overhead; A track record of technical decisions that held up and the judgment to know when to revisit them

Benefits

People-first culture; Flexible work model; Focus on well-being; Inclusive environment