Monte Carlo is seeking a Senior Product Security Engineer to lead security engineering efforts in a cloud-first environment.
The role is central to maintaining and enhancing the vulnerability management program, developing security automation, and managing security alerting/reporting.
The engineer will actively participate in new features and code reviews to support the Engineering team.
The position requires a deep understanding of AWS security, secure Python development, and security automation.
Strong DevSecOps experience, especially embedded within infrastructure and Terraform repositories, is essential.
Familiarity with AI tools and their security implications is a plus as the company expands into ML/AI-driven areas.
Responsibilities include leading security engineering, driving secure practices, enhancing vulnerability management, developing security automation, managing security alerting/reporting, and participating in code reviews.
Requirements:
Candidates must have in-depth knowledge of AWS security.
A strong background in secure Python development and security automation is required.
Hands-on DevSecOps experience embedded in infrastructure-level systems, including Terraform repositories, is necessary.
Experience with SIEM tools such as Splunk, Panther, or Datadog is expected.
A strong sense of ownership, a bias for action, and a collaborative mindset are essential traits.
Excellent communication skills and a strategic approach to solving security challenges are required.
Familiarity with AI tools and security in ML/AI environments is preferred.
Security experience in GCP or Azure is a plus.
Experience managing a Vulnerability Management program is beneficial.
Familiarity with SCA tooling (GitHub Advanced Security, Orca, Wiz, etc.) is advantageous.
Understanding of SOC 2, ISO 27001, and/or NIST 800-53 compliance frameworks is preferred.
Red/Blue/Purple team experience for supporting 3rd-party pentest scoping is a plus.
Benefits:
The role offers a competitive salary, benefits, and equity package.
The salary is specifically for US-based employees and will be aligned with the specified range.
Various factors, including a candidate’s professional background and experience, will be considered when determining compensation.
Final offer amounts may vary from the amounts listed.
Monte Carlo is committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
