דרושים Check Point

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

Key Responsibilities
Develop and maintain automated test frameworks using Python and Pytest for infrastructure components.
Generate detailed test reports to provide stakeholders with insights into test coverage, results, and trends.
Work in close contact with development teams in order to perform Manuel testing and QA for newly developed features.
Implement Behavior-Driven Development (BDD) practices to create clear and concise test scenarios and specifications.
Design and execute comprehensive test suites for infrastructure systems deployed on AWS.
Collaborate with cross-functional teams to understand testing requirements and incorporate them into the automation strategy.
Monitor and analyze test results using Grafana to identify performance bottlenecks and areas for improvement.
Investigate and troubleshoot issues discovered during testing, working closely with development teams to resolve them.
Stay up-to-date with industry best practices and emerging technologies in test automation and infrastructure testing.

We are looking for a Team leader for our File Secuirty Core team to join our threat detection engines group.

You will develop Check Points industry-leading sandbox solution in charge of the prevention of zero-days malware reaching the market.

You will work in multiple environments, large-scale cloud (AWS) microservices and on-prem solutions, a multiple development languages, and research the latest malware that exist in the wild.

We operate as an independent developing unit that enjoys flexibility, the option to make a big impact, and meaningful challenging work along with access to Check Points malware research resources.

Key Responsibilities
Lead a team of developers that are both experts in development and Malware research.
Research malware behaviour and evasion techniques across all stages of the malware kill change from exploitation and infection to impact.
Hands-on development in C++/Python on multiple environments.
Design and develop mechanisms to detect suspicious and malicious activity on OS internals.
Collaborate cross-functionally with data scientists, project managers, and researchers.
Get experience with developing in a cloud-based and on-prem infrastructure.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.

We are seeking a seasoned R&D Group Manager to lead a group of talented engineers in designing and building scalable data pipelines and cloud-native applications. This role is perfect for an experienced and proactive person with outstanding leadership skills. The ideal candidate is a team player who has a passion for data processing and applications at a large scale. This is an amazing opportunity to join a growing product in an enterprise company with ample opportunities for professional growth.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Lead and mentor multiple engineering teams focused on data infrastructure, backend services, and cloud-native applications
Architect and oversee the development of robust, scalable data pipelines and real-time data processing systems
Drive the design and implementation of microservices and serverless applications using AWS (e.g., Lambda, ECS, S3, MongoDB) and Azure (ADX)
Collaborate with product managers, data scientists, and other stakeholders to translate business requirements into technical solutions
Ensure high standards of software quality through code reviews, testing, and automation
Foster a culture of innovation, ownership, and continuous improvement within the group
Manage hiring, performance reviews, and career development for team members

At Check Point Software Technologies, we are building the cybersecurity platform that protects the hyper-connected world. We deliver real security, trusted by the largest enterprises, and data centers globally.

Today, we are making a significant investment in artificial intelligence to revolutionize cybersecurity:

We are developing AI-driven solutions to make the work of our customers smarter, faster, and dramatically more efficient.
We are creating security technologies to protect AI itself from cyber threats, helping organizations adopt AI technologies securely and responsibly.
We are on an ambitious journey to set a new industry standard for organizations to protect themselves, fully powered by AI.
This is the time to make a huge impact.
If you're passionate about leadership, innovation, and shaping the future of cybersecurity with AI we invite you to join us.





Key Responsibilities
Lead and scale the AI Product Management, developing a high-performing team of PMs.
Define and own the AI product strategy and roadmap, aligning with business goals and customer needs.
Drive the full product lifecycle, from discovery and high-level requirements gathering to launch, and iteration.
Be the voice of the customer, ensuring our AI solutions directly address real-world challenges and deliver exceptional value.
Collaborate cross-functionally with CTO, AI Architects, R&D, data science, marketing, and customer-facing teams to execute at high velocity.
Evangelize and represent Check Points AI vision and products internally and externally through keynotes, customer meetings, and industry events.
Tell the story: create compelling product narratives that clearly articulate the value of AI innovations to customers, partners, and internal stakeholders.

As a Senior DevOps Engineer at Check Point, you will design, implement, and manage CI/CD pipelines, collaborate with cross-functional teams, and ensure the high availability and reliability of our cloud-based services and solutions.

Key Responsibilities
Design, implement, and manage CI/CD pipelines to automate the deployment of SaaS solutions.
Collaborate with development, QA, and operations teams to ensure smooth and reliable software releases.
Monitor system performance and troubleshoot issues to ensure high availability and reliability of our services.
Implement and manage infrastructure as code (IaC) using tools like Terraform, CloudFormation and ARM.
Optimize system performance, scalability, and security.
Develop and maintain documentation for infrastructure and deployment processes.

We're in search of an Senior Platform/Infrastructure Engineer to join our team. You'll play a key role in deploying, maintaining, enhancing, and scaling up our high-scale, mission-critical data center production environment, which is essential to our SASE solution. Your responsibilities will include investigating complex production issues across network, OS, Virtualization, Cloud interconnectivity, and hardware components. You'll also focus on improving system resiliency and monitoring tools, as well as automating methods and procedures to streamline operations and boost stability. If you're a skilled Network/DevOps/Data Center/System engineer with experience in large-scale infrastructure environments, and you're looking to advance your career by joining one of the industry leaders in the evolving cybersecurity field, we'd love to have you on our team.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Plan, deploy, maintain, and optimize the organization's data center infrastructure, including routers, switches, firewall, servers and SAN/NAS units.
Create and maintain Infrastructure as Code (IaC) that deploys, scales, configures, and updates Data Center equipment, encompassing servers, storage, switches, and firewalls.
Monitor network and system performance, detect bottlenecks or connectivity issues, and implement necessary solutions.
Debug issues both in production and in labs. Create, test and validate solutions.
Foster collaboration with cross-functional teams to guarantee network security, uphold data integrity, and adhere to industry best practices and regulatory standards.
Participate in On-Call.

We are looking for a talented Senior Backend Developer to join our Infrastructure Team, supporting the server-side foundation of our mobile security product. Our team builds and maintains the core microservices and backend infrastructure that power protection, monitoring, and real-time decision-making for millions of mobile devices worldwide.

You will work in a hybrid environment, collaborating closely with highly skilled engineers within an agile, sprint-based process. This role is central to ensuring the performance, reliability, and scalability of our backend ecosystem, enabling seamless integration with mobile clients and supporting global, multi-region deployments.

Key Responsibilities
Design, develop, and maintain high-quality backend microservices and internal infrastructure components for our large-scale platform.
Own features end-to-end in an agile CI/CD environmentarchitecture, implementation, testing, deployment, and ongoing improvement.
Ensure the scalability, reliability, and resilience of infrastructure services supporting a rapidly growing global user base.
Work extensively with distributed systems, including technologies such as PostgreSQL, Redis, RabbitMQ, and Elasticsearch, optimizing performance and resource usage.
Implement and uphold observability best practices (metrics, logs, tracing) using tools like Prometheus and Grafana to maintain system health and diagnose issues quickly.
Collaborate closely with product managers, client-side developers, and DevOps teams to deliver robust, secure, and efficient infrastructure capabilities.
Drive continuous improvement by evaluating and adopting new tools, frameworks, and architectural patterns that contribute to operational excellence.
Mentor and guide other engineers, contributing to a culture of technical leadership, ownership, and knowledge sharing.

We are seeking a Senior Full Stack Engineer with strong experience designing and building scalable microservices and server-side applications. This role requires deep expertise in Java, React, and AWS, as well as solid understanding of modern architectural patterns.

Youll play a key role in developing our next-generation, multi-tenant system building cloud-native services from the ground up while supporting and improving our existing product. Youll also contribute to architectural direction and mentor other engineers on the team.

Key Responsibilities
End-to-end development of software components/services (research, design, development, testing, rollout, monitoring).
Contribute to technological and architectural decisions.
Mentor other engineers in the team (via code reviews, dedicated sessions, pair programming, etc.).
Analyze and improve efficiency, scalability, and stability of various components in our system.
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers.

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.

We are looking for an Experienced QA Automation Team Lead with a strong background in designing, developing, and maintaining scalable test automation infrastructures.

Skilled in Python-based test development, modern automation frameworks, API testing, and Playwright for UI automation. Demonstrated ability to lead technical initiatives, guide automation strategy, and integrate innovative testing approaches - including leveraging AI models for intelligent validation, test optimization, and automation tooling. Adept at collaborating across engineering, product, and DevOps teams to improve quality, accelerate releases, and ensure robust system reliability.

Key Responsibilities
Automation Architecture & Infrastructure

Design, develop, and maintain a scalable automation framework using Python, aligned with product architecture and CI/CD pipelines.
Lead the creation of reusable libraries, tools, and test utilities to improve automation efficiency.
Evaluate and integrate new technologies, including AI-assisted test generation, model-based testing, and intelligent failure analysis.
Establish best practices for code structure, version control, and test maintainability.
Test Development & Execution

Build and maintain automated test suites for UI, API, backend, and integration layers.
Implement end-to-end UI automation using Playwright, focusing on reliability and parallel execution.
Develop robust API tests using Python-based tools (e.g., pytest, requests, FastAPI test helpers).
Ensure broad test coverage across functional, regression, performance, and security areas.
Quality Leadership & Strategy

Define the overall automation strategy and ensure its alignment with organizational quality goals.
Lead and mentor QA engineers, providing guidance in Python development, test design, and automation best practices.
Collaborate with product, development, and DevOps teams to refine acceptance criteria and testing standards.
Drive shift-left testing practices and promote automation as a core part of the development lifecycle.
CI/CD & DevOps Collaboration

Integrate automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Work closely with DevOps to enable test environments, containerized executions, and scalable cloud-based test farms.
Introduce quality gates and automated blockers to reduce defect leakage and speed up delivery.
AI-enhanced Testing & Innovation

Utilize AI models to enhance test creation, anomaly detection, log analysis, and flakiness reduction.
Develop internal tools using AI for automated test maintenance and failure triage.
Experiment with LLM-driven testing strategies (e.g., agentic testing flows, AI-driven mock generation).