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Data Platform Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Platform Engineer (AI): Own and optimize the StarRocks-backed serving layer and data pipelines for a regulated government cloud environment with an accent on performance tuning, AI-assisted debugging, and high compliance. Focus on building reliable distributed systems, reducing single points of failure, and accelerating incident response in a high-availability, mission-critical setting.

Location

Location: United States only due to government cloud data access requirements

Company

hirify.global provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime, operating as a distributed-first company with hubs in multiple global cities.

What you will do

  • Own performance tuning on the StarRocks serving layer using AI-assisted query profiling to prevent slow queries.
  • Build and harden data pipelines feeding government cloud investigations with AI code review workflows.
  • Reduce single-point-of-failure risk by becoming a second engineer capable of independently operating the serving layer.
  • Use AI-assisted debugging and log analysis to triage and resolve production issues rapidly in a regulated environment.

Requirements

  • U.S. citizenship is required due to government cloud data access.
  • Experience operating distributed OLAP or serving-layer systems like StarRocks, Trino, or ClickHouse, including query tuning and performance optimization.
  • Experience owning data pipeline reliability and incident response, comfortable using AI tools for debugging and code review.
  • Independent ownership mindset with ability to take on-call responsibility and ramp up quickly using AI-assisted research.
  • English proficiency at least B2.

Culture & Benefits

  • High-velocity, high-ownership team environment focused on impact and adaptability.
  • Close collaboration across distributed teams with frequent communication.
  • Emphasis on AI fluency as a baseline expectation to accelerate workflows and problem solving.
  • Mission-driven work at the intersection of AI, national security, and crime fighting.

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