Novig

Novig

Senior Security Engineer

New York · Senior

Sponsorship not specified$200k-$250kDetected 27 days ago
Cloud PlatformsTerraformLLMsAgentic AICybersecuritySIEMSOAR

About the role

  • Operate proactively across a wide surface area of security engineering - owning a broad scope and driving work forward without waiting to be told where to look

Responsibilities

  • Build and maintain SOAR workflows and SIEM integrations that automate detection, triage, and response across our infrastructure
  • Develop AI agents and LLM-powered automation to handle security tasks that would otherwise require continuous manual oversight
  • This is a wide-scope, high-ownership role - you'll move across the full breadth of security engineering, anticipate risk before it surfaces, and drive work forward without waiting to be told where to look.
  • What you build here becomes the security foundation that the entire company scales on, and if you want to see your work meaningfully reduce risk across an entire organization, this is that job.
  • Novig is building America's #1 sports prediction market.

Skills

  • Harden cloud environments and embed security scanning into IaC pipelines (Terraform, CDK, etc.)
  • Integrate and operate MDM/EDR platforms, ensuring endpoint visibility and enforcement at scale
  • Our work is tied to live sports - that means potential nights, weekends, and pressure included.

Compensation

  • HSA + $1,080 annual company contribution

Benefits

  • Meaningful equity for every employee, regardless of role
  • 100% health premiums covered
  • 99% dental & vision covered
  • HSA + $1,080 annual company contribution
  • $27/day lunch stipend when working from our NYC office
  • $35/day dinner stipend when working from the NYC office after 6:30pm

Company info

  • Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users.

This listing is sourced directly from Novig's careers page and normalized into a canonical job model.