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Senior Infrastructure Engineer

KelAI· Engineering
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Hybrid (New York, NY)$170k - $220kFull-timePosted 3mo ago

About the role

Senior Infrastructure Engineer at KelAI, a YC-backed startup building an autonomous alpha engine for hedge funds and institutional investors. Role focuses on cloud infrastructure, security, observability, and production reliability for AI research workflows and institutional deployments.

Responsibilities

  • Own cloud infrastructure, deployment pipelines, observability, and production reliability
  • Build and manage secure environments for AI research workflows and institutional deployments
  • Implement infrastructure best practices across access control, secrets management, monitoring, logging, and incident response
  • Lead SOC II readiness and ongoing process ownership, including evidence collection, controls, policies, and vendor coordination
  • Partner with AI and quant teams to support scalable, secure production systems
  • Improve internal developer workflows, deployment speed, and infrastructure reliability

Qualifications

  • Strong experience managing production cloud infrastructure
  • Experience with cloud security, networking, CI/CD, observability, and infrastructure as code
  • Familiarity with SOC II, security controls, audit readiness, or compliance processes
  • Ability to own infrastructure decisions in a fast-moving startup environment
  • Strong judgment around security, reliability, and operational tradeoffs
  • Experience supporting AI, data-intensive, or enterprise-facing systems is a strong plus

Skills

Required:cloud infrastructure managementcloud securityCI/CDobservabilityinfrastructure as code
Nice to have:SOC II / security compliance
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About KelAI

The AI Quant: Autonomous Alpha Engine for Funds and Traders.

Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. Investment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.

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