Security Engineer, Infrastructure Security
SpyCloud- Full Time
- Junior (1 to 2 years)
Location Type: Remote Employment Type: Full-Time
As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.
Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.
Monte Carlo is seeking an exceptional Product Security Engineer to lead our security engineering efforts in a cloud-first environment. Your role will be central to maintaining and enhancing our vulnerability management program, developing security automation, and managing security alerting/reporting. You will also actively participate in new features and code reviews to support our Engineering team.
This position demands a deep understanding of AWS security, secure Python development, and security automation. Strong DevSecOps experience—especially embedded within infrastructure and Terraform repositories—is a must. Familiarity with AI tools and their security implications is a nice-to-have as we expand into ML/AI-driven areas.
This role will receive a competitive salary, benefits, and equity package. The salary is only for US-based employees and will be aligned with the range below. Various factors, including a candidate’s professional background and experience, are considered when determining compensation. Final offer amounts may vary from the amounts listed above.
#LI-REMOTE #BI-REMOTE
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Provides end-to-end data observability solutions
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.