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Were looking for a seasoned Software Architect to join our Architecture Group.

This role is ideal for an experienced architect with a strong development background and deep expertise in system design, networking, and cloud architecture.

As part of our core architecture team, youll shape the design of our next-gen Firewall-as-a-Service and Zero Trust solutions. Youll work closely with engineering leadership, product managers, and tech leads to define scalable, secure, and high-performance systems.

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities


Define and evolve the architectural vision across cloud-native and on-prem components.

Lead key design discussions and decisions across the R&D organization.

Drive POCs and hands-on architecture work for critical initiatives.

Ensure alignment with product strategy and business priorities.

Promote best practices in performance, scalability, and security.

Work closely with cross-functional teams to maintain architectural consistency.

As part of the GenAI Protect group at Check Point, youll join a pioneering team building cutting-edge security solutions for the new world of AI-driven workflows, and protect organizations from risks introduced by generative AI tools across browsers, desktops, and managed control points.

Youll play a critical role in designing and scaling the cloud infrastructure that powers GenAI Protect, ensuring reliability, performance, and secure operations at scale.
This position is ideal for an experienced DevOps engineer who thrives in fast-paced, innovation-driven environments and wants to shape Check Points next-generation security platform.

Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people.

At Check Point, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.

Check Point Workspace Security (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.

If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.

Key Responsibilities
As a Senior Cloud Back-End Developer, you will be responsible for developing and maintaining exciting security products utilizing advanced models for Avanans customers. Our production environment is a fast-paced, agile development cloud environment - handling tens of millions of transactions daily

You will develop software serving large scale production real-time environment. handling large quantities of data, using multi-threaded methods and design patterns. The domain you will tackle will involve cutting edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more. The product involves significant use of modern AI technologies. All implemented with the latest AWS tools and managed services such as Aurora RDS, Athena, Kinesis, Kafka, SQS, Elastic Search, ElasticCache, and many more. You will design and develop high impact real-time components for online analysis, and take ownership of the end-to-end solution.

Develop production-grade, large-scale cloud -based security products.
Design and develop data-driven applications in an agile development environment.
Design and develop AI back-end solutions and APIs.
Interact with data scientists, R&D, QA and Test Automation.