Senior Product Security Engineer

🕒 May 21

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DataRobot

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

📋 Description

• Drive day-to-day security while ensuring our platform meets the demands of our customers • Develop custom automation to manage security processes and implement "Secure-by-Design" processes in the CI/CD pipeline using Python • Identify, design, and implement controls to safeguard our containerized production environments • Deploy and manage product security testing tools for SAST, DAST, and SCA analysis • Conduct and automate end-to-end vulnerability, threat, and exploitability assessments for actionable fixes and mitigations in DataRobot products • Perform initial technical investigation for customer reports and security incidents, coordinating with Engineering and IT Security • Work directly with Sales & Support teams to resolve concerns regarding security exposure and architecture • Balance business needs with security rigor while maintaining strong professional relationships through clear, diplomatic communication.

🎯 Requirements

• 5-7 years of experience working in Product Security or Application Security roles • Bachelor's in Computer Science, Cybersecurity, Information Systems, or a related field (or equivalent experience) • Fluent in writing code using Python to build security automation • Deep understanding of Linux containers (internals, security isolation) • Experienced in Git-based collaboration and automating software delivery through CI/CD integration (Jenkins, Harness, or GitHub Actions) • Familiarity with Kubernetes orchestration is strongly preferred • Hands-on experience with common security tools such as Semgrep, Trivy, and Burp Suite • Ability to reproduce vulnerabilities in a lab environment to demonstrate impact • Strong ability to perform manual code reviews or AI assisted reviews in Python, Go, and Node.js, looking for flaws that automated tools might miss (e.g., broken access control or insecure business logic) • Leveraged AI-driven automation to accelerate secure code development and scale security assessments across the SDLC • Strong communication skills for guiding teams and liaising with various stakeholders.

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!