Senior Data Infrastructure Engineer

Engineer

Senior Data Infrastructure Engineer

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  • Date posted
    July 31, 2026
  • Expiration date
    October 30, 2026
  • Application ends
    October 30, 2026

We’re looking for a Senior Data Infrastructure Engineer to architect and operate high-performance systems at scale using AI as a force multiplier.

This role has fundamentally shifted. You’re no longer constrained by typing speed or the breadth of APIs you’ve memorized. With agentic coding tools, you can scaffold infrastructure, automation, and tooling at a pace that was impossible a year ago. The bottleneck has moved: it’s no longer implementation, it’s orchestration, decomposition, and direction.

You’ll design infrastructure in collaboration with AI, review and iterate on generated code, manage multiple complex workstreams simultaneously, and ship infrastructure improvements at a velocity that would have required a team of three six months ago.

This requires a specific skill set: the ability to think in systems, decompose infrastructure problems cleanly, direct AI-generated solutions, and review code critically. You need to be comfortable with “the AI and I built this together”.

We primarily build in Rust and expect you to be comfortable with it or excited to become highly proficient.

We also use Bash, SQL, and Python extensively, often orchestrating all of them through AI-driven workflows. If you’ve successfully used agentic coding tools (Claude Code, Cursor, GitHub Copilot X-level capabilities), that’s a strong signal. If you’re skeptical of AI-driven development, this role probably isn’t for you.

What Actually Changed
  • Before (Pre-Agentic): You spent 60% of your time writing code, database migrations, Bash scripts, and monitoring configurations. The remaining 40% was architecture, decomposition, and problem-solving.
  • Now (Agentic Era): You spend 20% of your time writing that same code—except you’re orchestrating AI to generate it, then reviewing and iterating. You spend the other 80% on what AI can’t do: deciding what to build, why certain tradeoffs matter, and managing multiple infrastructure improvements in parallel.
What this means for this role:
  • Handling Debian server management, disaster recovery, and capacity planning—but with AI generating the majority of your automation scripts
  • Designing PostgreSQL schemas and ClickHouse migrations—with AI scaffolding the implementation and you validating the design
  • Building monitoring and observability systems—10x faster than before
  • Managing 8+ bare-metal servers and 1.2 PiB of data
  • Working across multiple infrastructure subsystems simultaneously
  • Are you interested in this position?

     

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