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We are looking for a talented and experienced DevSecOps Engineer to join Check Point's IT Security group and help secure our large-scale, hybrid and multi-cloud environments.

We're a hands-on DevSecOps team embedded in the core of IT Security, focused on protecting infrastructure and network layers while building scalable, resilient systems. From AI security and data protection to CTEM (Continuous Threat Exposure Management), we lead POCs and transform innovative ideas into production-ready solutions. Were passionate about automating manual processes, driving operational excellence, and continuously evolving our security posture through cutting-edge technologies.



Key Responsibilities
Plan, Design, implement and maintain security standards and solutions across network, cloud, applications, CI/CD pipelines and secrets management all with a hands-on approach
Develop and own automation for SecOps operations, CTEM workflows and proactive security monitoring and remediation
Analyze complex system behaviors to identify performance, reliability and security issues in large-scale, live environments
Collaborate closely with SecOps and DevOps teams to align security with speed, scale and resilience
As a DevSecOps Engineer, youll play a critical role in protecting our hybrid cloud infrastructure, while shaping the future of security automation at scale.

As a Senior DevOps Engineer In Threat Cloud, you will be pivotal in designing, implementing, and maintaining our cloud infrastructure. You will join a highly technological team responsible for managing Threat Cloud AI cloud environments, optimizing infrastructure, and ensuring security and cost efficiency. In this role, you will collaborate with key stakeholders across the company, including R&D, Security, and Product teams, to automate processes, streamline operations, and drive impactful changes in our cloud strategy.

Key Responsibilities
Impactful Contribution: Play a major part in shaping the Threat Cloud strategy, focusing on innovation and long-term success.
Lead the team towards technical solutions guided by a strong understanding of the latest and greatest technologies like Kubernetes,, GitOps and Data Lake solutions.
Tackle large-scale production issues and bring out-of-the-box thinking to the table
Cross-Functional Collaboration: Work closely with all major stakeholders in the company, including R&D, Security, Product, and more, to ensure seamless integration of DevOps practices.
Automation & Streamlining: Help automate and streamline our operations and processes, enhancing efficiency and reducing manual intervention.
Evaluate new cloud-native technologies and vendor products to continuously improve our infrastructure

We are in a period of hyper-growth - both in terms of customer adoption and engineering scale. This brings exciting challenges in performance, scalability, cost-efficiency, and reliability. Youll play a key role in shaping how our data infrastructure supports this scale and future-proofs our platform.

Key Responsibilities
Own and operate production and pre-production databases, including:
MongoDB (Atlas)
Redis (AWS ElastiCache Valkey)
RabbitMQ (EC2-based cluster)
Additional databases as our platform evolves
Work closely with developers to optimize data models, indexes, and queries across the SDLC (design, QA, staging, production).
Partner with SREs to ensure high availability (99.99% uptime), disaster recovery, monitoring, and performance tuning.
Plan and execute schema changes, index strategies, and database version upgrades with zero or minimal downtime.
Set up and enforce backup, restore, and retention policies aligned with compliance and availability needs.