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Platform Engineer · 0 years

You qualify for 61 Platform Engineer roles

Out of the 1,000 newest, from 1,202 open in all. Every must-have was checked against what you entered. 41 more are one must-have away.

Meets 0 of 1 must-havesStaffRemote · Raleigh
  • ?A bias to ship, and to automate the thing you just did by hand. Willingness to own the boring parts: upgrades, credentials, quotas, on-call reality. Candor: you raise problems and disagreements early, including when a platform choice looks
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Meets 0 of 5 must-haves$180k–$240kSeniorRemote - US
  • ?Extensive experience building modular, composable, and well-documented component libraries and/or design systems
  • ?Deep knowledge of React, TypeScript, HTML, and CSS, familiarity with: styling approaches (CSS Modules, CSS-in-JS, Tailwind, Sass, etc.) and design system toolings (Storybook, Chromatic, tokens pipelines, etc.)
  • ?Experience collaborating closely with designers and non-engineering partners
  • ?Strong attention to detail and a high bar for craft and genuine passion for accessibility and inclusive design
  • +1 more on the role page
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Meets 0 of 4 must-havesStaffRemote · United States
  • ?U.S. citizenship is required for this role due to government cloud data access requirements.
  • ?Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale.
  • ?Experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.
  • ?Independent ownership mindset: you can pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight.
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Meets 0 of 4 must-havesRemote · United States
  • ?U.S. citizenship is required for this role due to government cloud data access requirements.
  • ?Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale.
  • ?Experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation.
  • ?Independent ownership mindset: you can pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight.
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