TL;DR

Data Infrastructure Engineer (AI): Designing and scaling foundational data systems for product features, AI research, analytics, and decision-making with an accent on batch and streaming data processing, data orchestration, reliability, and developer experience. Focus on data correctness, freshness, lineage, and enabling teams to move fast without sacrificing scale.

Location: Hybrid in San Francisco, Seattle, or New York City

Salary: $200K – $300K

Company

%hirify_global% is an AI-powered answer engine founded in December 2022, growing rapidly as one of the world’s leading AI platforms.

What you will do

Design and operate large-scale batch and streaming data pipelines supporting product features, AI training/evaluation, analytics, and experimentation.
Build and evolve event-driven and streaming systems for real-time ingestion, transformation, and delivery.
Lead the design and operation of data orchestration systems, including scheduling, dependency management, retries, SLAs, and observability.
Build self-serve data platforms that empower engineers, data scientists, and analysts to safely create and operate pipelines.
Drive architectural decisions across data infrastructure for storage, compute, orchestration, and APIs.

Requirements

5+ years (Senior) or 8+ years (Staff) of software engineering experience.
Strong experience building production data infrastructure systems.
Hands-on experience with batch and/or streaming data processing at scale.
Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
Strong systems thinking: you understand tradeoffs across reliability, latency, cost, and complexity.

Culture & Benefits

Full-time U.S. employees enjoy a comprehensive benefits program including equity, health, dental, vision, retirement, fitness, commuter and dependent care accounts, and more.