DevSecOps Engineer (AI-Driven Security)

Join our Internal Platform Engineering team! We are looking for a Security Engineer with a strong DevOps mindset and a passion for the future of technology. In this role, you will be at the forefront of designing, building, and securing our high-scale cloud infrastructure, ensuring that security is seamlessly integrated into our CI/CD pipelines and engineering culture.

As part of our evolution, you will also play a key role in AI-driven security-leveraging AI tools to automate threat detection, optimizing security operations, and ensuring the secure deployment of AI/LLM-based applications across the company. In your day-to-day, you will:Drive Security &

• DevOps Integration: Bring a security-first approach into a DevOps culture, ensuring that infrastructure and deployment pipelines are secure by design.

Automate Infrastructure: Support the efficient delivery of services by employing industry best practices for the automated build, deployment, and monitoring of security infrastructure and code.Implement AI &

• Smart Security: Pioneer the adoption of AI-driven security tools to automate incident response, vulnerability management, and threat intelligence.Cloud &
• Transformation: Support Cloud Technology deployments, lift-and-shift migrations, and transformation of Cloud solutions that manage hybrid and on-premises infrastructure.Collaborate &
• Consult: Partner with Product and R&D teams to evaluate planned changes, review architecture blueprints, minimize risks, and architect secure distributed systems.SecOps Excellence: Manage and optimize modern cybersecurity solutions (SIEM, EDR, Firewalls) and application security frameworks.Requirements: 3 years of experience working in a large enterprise environment with a solid grasp of SecOps/DevSecOps and secure system design.DevOps Mindset &
• Foundations: Strong hands-on experience with networking foundations (TCP/IP, DNS, Load-balancers, routing), configuration management, and version control (Git).AppSec &
• Identity: Deep knowledge of web application vulnerabilities, authentication/authorization protocols (OAuth, SAML), secret management, PKI, and SSL/TLS.Security Stack: Proven experience with cybersecurity solutions like SIEM, EDR,Email Security, Endpoint protection, and Vulnerability scanning.

Identity Management: Hands-on experience with SSO solutions (Keycloak, Okta, Google SAML, Azure Auth).Communication: Excellent interpersonal and communication skills in both English and Hebrew.An advantage if you have:AI Security Enthusiast: Experience or strong understanding of securing AI/LLM pipelines, OWASP Top 10 for LLMs, or utilizing AI tools for automated security operations.Cloud &

• Containers: Experience with at least one major cloud platform (AWS, GCP, or Azure) and container-based technologies (Docker, Kubernetes).Infrastructure as Code (IaC): Experience with automation tools like Terraform, Ansible, or equivalent.Source Control &
• Frameworks: An understanding of the management of different software version control repositories, specifically Git and development frameworks.Governance: Experience in writing Security procedures, policies, and compliance frameworks.This position is open to all candidates.