Jobs · Engineering

Data Platform Engineer - AI Platform

Jobgether · United States · 2 wk ago
RemoteRemoteEngineeringFull-time

About the role

This is a hands-on data engineering role focused on building and operating critical infrastructure within a regulated, high-availability government cloud environment. You’ll work on the serving layer that transforms complex datasets into fast, reliable answers for mission-critical investigations. The position combines distributed systems, database performance, data pipeline reliability, production operations, and AI-assisted engineering practices. You’ll take ownership of infrastructure where reliability, compliance, and operational resilience are essential.

The role offers close collaboration with data platform, product, and forward-deployed engineering teams in a distributed environment. You’ll be empowered to make technical decisions close to the systems you operate while solving challenging problems at speed. This opportunity is ideal for an engineer who enjoys autonomy, continuous learning, and meaningful work with real-world impact.

Responsibilities

  • Build and operate critical infrastructure within a regulated, high-availability government cloud environment.
  • Develop and maintain the serving layer that transforms complex datasets into fast, reliable answers for mission-critical investigations.
  • Work on distributed systems, database performance, and data pipeline reliability.
  • Ensure operational resilience and compliance in production environments.
  • Collaborate with data platform, product, and forward-deployed engineering teams.
  • Make technical decisions close to the systems you operate to solve challenging problems at speed.

Requirements

  • Based in the United States.
  • Experience with hands-on data engineering in regulated, high-availability environments.
  • Proficiency in distributed systems, database performance, and data pipeline reliability.
  • Strong focus on production operations and operational resilience.
  • Ability to work autonomously and make technical decisions in a fast-paced environment.
  • Interest in AI-assisted engineering practices.

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