Product Security Engineer (AI)

TL;DR

Product Security Engineer (AI): Designing and implementing security and automation features for a Data+AI Security platform with an accent on cloud-native security and protection against AI/ML threats. Focus on integrating security into the SDLC, developing automation for cloud remediation, and ensuring compliance with data privacy regulations.

Location: Remote

Company

hirify.global is a Data+AI Security company providing a data security posture management platform to address modern security and privacy challenges at scale.

What you will do

• Lead the design and implementation of security and automation features for the Data+AI Security platform.
• Collaborate with security, product, and development teams to integrate security throughout the software development lifecycle.
• Design and implement product features to protect organizations against threats, specifically those related to AI and machine learning.
• Research emerging security threats, trends, and best practices in product security.
• Contribute to the development of security-related product requirements and specifications.

Requirements

• 5+ years of engineering experience with a strong focus on product security.
• Strong software development skills in languages used for cloud-native applications.
• In-depth knowledge of secure software development practices and common security vulnerabilities.
• Experience implementing security principles within cloud environments (AWS, Azure, GCP).
• Understanding of data privacy regulations, including GDPR and CCPA, and their impact on product design.
• Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.

Nice to have

• Experience designing and developing automation to remediate cloud issues.
• Experience with security in AI/ML systems.

Culture & Benefits

• Flexible work arrangement, allowing for work from home or from global locations.
• Liberal expense policy for acquiring necessary equipment and software tools.
• Access to technical, leadership, and organizational training tailored to individual development.
• Employee recognition through blog features, product showcases, and conference talks.
• Opportunity to innovate in generative AI and ML applications within the data security domain.