Senior Security Engineer - AI/ML Enterprise SaaS at People.ai
San Francisco, CA, US
Accenture has recently stated that “the impact of AI technologies on business is projected to increase labor productivity by up to 40% and enable people to make more efficient use of their time.“ A specific area that will have the largest impact is leveraging AI for greater revenue intelligence.
 
People.ai built and leads the emerging Revenue Intelligence market with our Revenue Intelligence System that empowers sales, marketing, and customer success teams to unlock full selling capacity. Companies like New Relic, Tanium, Lyft, Okta, and Mulesoft use People.ai to automate the capture of all contact and customer activity data, dynamically update their CRM and provide actionable intelligence across your management tools.
 
 
 
The mission for the Sr. Security Engineer role is to approach a 100% success rate thwarting all attacks on the company.

Responsibilities

    • Define and enforce security standards across the entire AWS environment through the automation of build and operations scripts deployed with the cooperation of the Service Reliability Engineering team. Specifically, the Sr. Security Engineer will be responsible for hardening our Kubernetes clusters, tighten our AWS security groups, and implementing role-based controls to effect a least-privilege principle.
    • Identify and manage strategic security initiatives to completion that span many weeks and involve Engineering. Examples include secure code initiatives and secure infrastructure initiatives.
    • Optimize our threat prevention, monitoring and alerting infrastructure for our AWS-based service so false positives approach zero without missing medium, high or critical issues. This includes writing queries for Sumo Logic to identify aberrational behavior; configuring Lacework, Tenable, Acunetix, AWS GuardDuty and other services.
    • Optimize the CI/CD (continuous integration and deployment) flow to pull only known, trusted images and libraries during the build and deploy processes.
    • Successfully execute tactical solutions to resolve or remediate all security issues. This includes managing vulnerability bug submissions to resolution, remediating all alerts within service level agreements, and assisting with IT-related security issues.

Requirements

    • 8+ years of demonstrable security experience across multiple security domains. Domains of the most relevance are cloud, network, infrastructure, and application security.
    • Highly-proficient in AWS or similar cloud services.
    • Excellent UNIX administration skills.
    • Strong scripting or coding skills in any language.
    • 1+ year’s hands-on experience with Kubernetes or container orchestration system.
    • 1+ year hands-on experience with at least one threat intelligence, threat monitoring or threat prevention service or product which requires developing cross-threat signal queries or analyses, or developing techniques to analyze multiple indicators of compromise, to find threats.
    • Demonstrable experience automating and optimizing the efficacy of threat intelligence, monitoring or prevention services or products.
    • Expertise integrating security services into a cloud-based applications.
Founded in 2016 and based in San Francisco, People.ai is backed by Y Combinator and Silicon Valley’s top investors, including Andreessen Horowitz and Lightspeed Venture Partners.