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Job
· Mid-level
Product Security Engineer
Security Engineer
• Mid-level
• Remote
• Full-time
•
Ukraine
DataRobot is looking for an experienced Product Security Engineer to drive day-to-day security while ensuring the platform meets the rigorous demands of its on-premises and hosted customers.
Responsibilities
- ▹Develop custom automation to manage security processes and implement Secure-by-Design in the CI/CD pipeline using Python
- ▹Identify, design, and implement controls to safeguard containerized production environments
- ▹Deploy and manage product security testing tools for SAST, DAST, and SCA analysis (e.g. Semgrep, Trivy, Burp Suite)
- ▹Review technical designs for new features, leading threat models to prioritize risks
- ▹Conduct and automate end-to-end vulnerability, threat, and exploitability assessments
- ▹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 through clear, diplomatic communication
Requirements
- ▹Fluent in Python for building security automation
- ▹Deep understanding of Linux containers (internals, security isolation)
- ▹Experience with Git-based collaboration and CI/CD integration (Jenkins, Harness, or GitHub Actions)
- ▹Familiarity with Kubernetes orchestration strongly preferred
- ▹Hands-on experience with security tools such as Semgrep, Trivy, and Burp Suite
- ▹Ability to reproduce vulnerabilities in a lab environment
- ▹Strong ability to perform manual or AI-assisted code reviews in Python, Go, and Node.js
- ▹Ability to work independently on complex technical tasks with minimal supervision, knowing when to escalate
Soft skills
Diplomatic communicationCustomer-centric communicationStanding firm on security policy while maintaining professional relationships
About the company
DataRobot delivers AI that maximizes impact and minimizes business risk. Its platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale, empowering practitioners to deliver predictive and generative AI and enabling leaders to secure their AI assets.
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