DevOps Engineer - Cloud Security 24570

we are a global leader in cybersecurity, committed to safeguarding organizations against evolving cyber threats. Our Cloud Network Security group is driving innovation in cloud solutions, and we are seeking a DevOps Engineer with strong development skills to join our team.
As a Senior DevOps Engineer, you will design and optimize CI/CD pipelines, manage multi-cloud environments, and collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud services. You will also participate in automation development for cloud security. This role requires a solid software development foundation, cloud governance expertise, and a forward-thinking approach to AI adoption and FinOps practices.
About the Team
You will be part of the Cloud Security DevOps & Automation team, a key unit under the CloudGuard Network Products group, responsible for building automation frameworks, enforcing security policies, and driving innovation in multi-cloud environments. Our team focuses on delivering secure, scalable, and automated solutions while providing robust DevOps and automation support to internal development teams, enabling them to build and deploy cloud security products efficiently.
Key Responsibilities
CI/CD Automation: Design, implement, and maintain CI/CD pipelines for SaaS deployments using tools like GitLab CI, Zuul and Github Workflows.
Cloud Security Automation: Develop automation solutions to enforce security policies and compliance across multi-cloud and private cloud environments.
Automation Infrastructure: Build and maintain automation frameworks and tools to streamline infrastructure provisioning, deployment, and operational tasks.
Cloud Governance: Manage and enforce governance across multi-cloud accounts (like AWS, Azure, GCP).
Performance & Reliability: Monitor system performance, troubleshoot issues, and optimize for scalability, security, and cost efficiency (FinOps orientation).
Containerization: Deploy and manage containerized applications using Docker and Kubernetes.
AI Integration: Explore and implement AI-driven solutions to enhance DevOps workflows.