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Join Check Points Harmony SASE - a game changing hybrid SASE platform

We are looking for a talented Full stack Engineer with a strong backend orientation and exceptional skills to join our Harmony SASEs forefront team at Check Point, which building cutting-edge, large-scale solutions that redefine cloud security and network management.

As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient backend systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!

Check Point is a key player in 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
End-to-end features development including design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, QA and Software Engineers to deliver the best product to our customers

We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers.

Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams

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).

We're looking for a highly experienced and motivated Networking QA Engineer with excellent problem-solving and debugging skills. If you're passionate about quality in the world of SASE solutions, then join our team.

You will be highly involved in SASEs development process, starting from the requirement gathering, prioritization, and documentation.
You will test our network-oriented features from its very early stage and will be able to affect its feature quality, ensuring that the code is always shippable.
You will work with first line network devices while constantly maintaining knowledge along with newest technology changes.

Key Responsibilities
Prepare and execute feature test plan for cross team features
Simulate and investigate customers use cases in complex network environments
Participate in Pre-Release Regression cycles
- Preparing the regression content of multiple teams in your domain
- Execute the regression together with your QA teammates
- Reflect status on progress
Lead your team to higher quality
- Monitor quality KPIs and processes of the team and work on mitigations when needed (such as escaping bugs, testing coverage, zero Bug policy etc)
- Mentor and monitor your team to follow best practices of SDLC with High Quality
- Investigate Escaping bugs and provide RCA
Review requirements, specifications and technical design documents to provide timely and meaningful feedback
Be able to reflect clear status on process

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

We are looking for a security Product Manager to be responsible for defining, planning, and executing new features for our award-winning SASE platform.

As a Security Product Manager, you will work closely with our R&D, Sales, Support and Design teams to contribute to the development and evolution of a leading network security product at Check Point. You will also be responsible for prioritizing features and making the impact our customers want the most.

This role is perfect for you if you are an experienced Product Manager with a strong technical and analytical background who can think holistically about customer pain points. You will be involved in defining and developing the products features that take us to the next level.

Key Responsibilities
Take full responsibility and ownership of our SASE product features, from ideation to production and measurement
Create and manage feature plans, roadmaps, project plans and specifications
Collaborate with sales, R&D and support on product development during the discovery phase to assess value, usability, and feasibility of features
Manage and have a significant impact on the product's user experience and feature set and act as the product evangelist to build awareness within the company
Research, gather and define products business requirements from discussions with clients and other sources for current and future product releases
Analyze and report on the performance of features in production, reflecting on successes and identifying areas for continuous improvement
Writing solution definitions for new features
Work closely with customers and partners to get feedback and define new features

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 a hands-on, proactive DBA to join our growing SASE R&D DevOps group. As our dedicated Database Administrator, you will own the operational and performance aspects of our database stack and work closely with R&D engineers, SREs, and QA to ensure our data layer is resilient, efficient, secure, and scales with our business.

This is not a siloed infrastructure-only role - you will partner deeply with developers from design to production, provide input on data modeling and query optimization, and ensure best practices across the board, from schema design to observability, disaster recovery, and upgrades.

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.
Implement and maintain observability tools and alerting for the data infrastructure.
Lead cost optimization of all data services rightsizing, usage analysis, cleanup, and architecture alignment.
Troubleshoot and resolve data-related incidents; participate in on-call rotations and post-mortems as needed.

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 passionate Software Developer to join one of our most exciting and innovative products in the world of Security Automation and AI Infinity Playblocks.

This is an amazing opportunity to be part of a cutting-edge cloud platform that helps customers automate, orchestrate, and secure their environments - and to help shape it from its early stages.

Youll join a leading team developing both the backend and frontend of a state-of-the-art SaaS application, working in an agile, fast-paced environment and collaborating closely with product, design, and data teams.

If youre passionate about technology, eager to innovate in the AI and automation space, and love turning ideas into impact - wed love to have you on board!

Key Responsibilities
End-to-end backend and frontend development of a new cloud product in the field of Security Automation and AI.
Lead all stages of the development cycle from requirements to production while developing multi-tenant, high-scale, efficient, and secure code.
Be part of a growing, leading team working with state-of-the-art cloud and web technologies, including microservices architecture.
Collaborate closely with cross-functional teams and customers to solve complex problems and innovate new features.
Propose solutions for complex technical challenges.

As an AI Architect, you will own the end-to-end design of our AI-driven protection stack, from agent telemetry to inference and enforcement. You will set the standards for secure and scalable AI architecture, influence product direction, and mentor senior engineers. If you want to lead the intersection of AI, security, and system design, this is where you want to be.

Key Responsibilities


Define the end-to-end AI architecture, from agent telemetry to inference and protection enforcement.
Design APIs and interfaces connecting agents, management, and GenAI services.
Partner with threat research and product teams to turn protection intent into ML-driven capabilities.
Establish best practices for AI safety, privacy, and secure design.
Review designs across all product teams (Windows, Mac, Backend, GenAI).
Mentor senior engineers and lead design reviews for high-impact systems.

We use an interesting and mixed technology and services, we are mostly located in AWS but we have significant 3rd parties which we must manage their cost as well (like Datadog, Atlas, and more as examples).
In this position you will use your expertise in phyton and TF, you will have to perform automated actions and work on implementation with R&D of cost effective solutions.

Key Responsibilities
Design, build and manage our finops infrastructure in order to automatically reduce daily cost.
Get an experience with finops tools, develop dedicated processes, and have a great opportunity to grow and create impact.
Adapt and take on more responsibilities and own your share of the product.
Work with different RnD groups, business, and other teams at Check Point.

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.

we are looking for a talented Front End Engineer to take responsibility for this amazing and innovative platform.

The partner platform offers a single integrated solution providing consolidated visibility and management of customer environments, allowing automation, scalability, and high reliability for proactive security protection.



Key Responsibilities
Actively develop and design the front end infrastructure, architecture and product features
Rapidly deliver high quality, scalable, enterprise-ready SaaS application
Measure, analyze, and improve existing software to enhance performance, UX and functionality
Research and suggest new technologies to improve scale and performance
Work closely with other groups and stakeholders in Check Point to manage requirements and priorities

We are building the Windows agent that powers GenAI Protect, Check Points flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.



Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.