- KelAI
- New York, NY
- Full-Time
- 77 days ago
- $170,000 – $220,000
Senior Infrastructure Engineer.
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Senior Infrastructure Engineer: our view in 3 lines...
- The Role:This role is for a senior engineer building and maintaining cloud infrastructure for AI research and institutional production systems.
- The Person:The person will own cloud infrastructure, deployment pipelines, observability, production reliability, SOC II readiness, and secure environments for AI research workflows.
- Requirements:The ideal candidate has strong experience managing production cloud infrastructure and is familiar with cloud security, networking, CI/CD, observability, infrastructure as code, and SOC II.
About the role
What You’ll Do
- 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
What We’re Looking For
- 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
Founded by a former WorldQuant portfolio manager and Head of Event-Driven Systematic Strategies, KelAI is a YC-backed, venture-funded company building the autonomous alpha engine for hedge funds, traders, and institutional investors.
We help investment teams turn data, research, and market ideas into agentic quant workflows for signal generation, thesis monitoring, and better investment decisions.
