דרושים Check Point

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).

We are looking for a talented and passionate Team Leader to join our Infinity Identity R&D group and play a key role in shaping Check Points new cloud identity offering.

Do you have experience leading and mentoring engineers, building scalable cloud-native microservices, and driving complex projects from design to production?

Are you excited about tackling cutting-edge technological challenges while empowering your team to grow and succeed? If so, we want you!

Our technology stack includes Microservices, Kubernetes, AWS Cloud Technologies, Postgres, Redis, and more.

Key Responsibilities
Leading a development team in an agile environment.
Rapidly deliver high-quality, scalable, enterprise-ready SaaS applications.
Measure, analyze, and improve existing software to enhance performance 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.

Check Point Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of external cyber security threats with one unified solution.


At Cyberint, we protect organizations from digital threats by delivering leading Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As part of our mission, we are committed to ensuring our SaaS platform operates with the highest reliability, scalability, and efficiency.

We are seeking a results-driven DevOps Team Lead to head the DevOps and Infrastructure team within our R&D organization. This role requires strategic vision, technical expertise, and a proactive approach to drive operational excellence, empower teams with robust tools and automation, and ensure high system reliability and scalability.

As the DevOps Team Lead, you will be instrumental in delivering critical KPIs, including system uptime, automation, incident management, and collaboration with development and QA teams to enable self-sufficiency. Additionally, you will serve as the leader for strategic projects, identifying opportunities to improve infrastructure and operational processes, setting long-term goals, and executing initiatives that align with Cyberints business objectives and growth.

Key Responsibilities
Strategic Leadership

Identify and lead strategic projects to enhance Cyberints platform scalability, reliability, and operational efficiency.
Develop and execute a roadmap for critical infrastructure and DevOps initiatives that drive business success.
Collaborate with senior stakeholders to align projects with organizational priorities and deliver measurable outcomes.
System Reliability & Uptime

Lead initiatives to ensure system reliability, minimize disruptions, and maintain high availability for Cyberints SaaS platform.
Establish and manage proactive monitoring, alerting, and preventive maintenance strategies.
Drive incident prevention efforts, ensuring robust failover and disaster recovery mechanisms.
Develop and maintain playbooks to enable rapid diagnosis and resolution of issues.
Automation, Infrastructure as Code (IaC), & Self-Service Enablement

Champion the adoption of automation and IaC to streamline infrastructure management and deployments.
Build and enhance self-service tools and frameworks, empowering R&D teams to operate independently with minimal reliance on DevOps.
Continuously improve CI/CD pipelines to optimize deployment speed and reliability.
Collaboration & Support for Self-Sufficiency

Collaborate closely with development, QA, and support teams to deliver tools and frameworks that promote team autonomy and efficiency.
Advocate for cross-functional engagement to align operational processes with R&D objectives.
Provide training and mentorship to teams on using DevOps tools effectively.
Accountability, Ownership, & Scalability

Take ownership of all systems and infrastructure, ensuring solutions are scalable, resilient, and aligned with Cyberints growth objectives.
Establish clear accountability frameworks for maintaining infrastructure and delivering on key projects.
Design and execute a roadmap to support self-service-oriented and scalable solutions.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into Checkpoint products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Check Points Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within Check Point.
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

We are looking for an exceptional and passionate Competitive Intelligence Analyst (Technical AI Security Focus) to join Check Points Competitive Intelligence Group. This role sits at the intersection of cutting-edge AI-driven cybersecurity and strategic technical analysis.

If you are highly analytical, deeply technical, passionate about AI security, and motivated by uncovering insights that influence product and go-to-market strategy this is your opportunity to make a real impact. You will research and analyze the evolving AI threat landscape, evaluate emerging technologies, and help shape how Check Point competes and leads in the AI security domain.

Key Responsibilities
Conduct in-depth technical research and hands-on analysis of competitor products and AI security solutions focusing on AI-Security and prevention capabilities
Gather and synthesize intelligence from public sources, customer feedback, analyst reports, and hands-on lab testing to understand and counter competitor claims.
Track and analyze the AI threat landscape, including adversarial AI, generative AI risks, and LLM-related security trends.
Develop competitive materials (battlecards, deep-dive reports, technical comparisons) to empower Check Points sales, marketing, and product teams.
Collaborate with R&D, Product Management, and Threat Intelligence teams to validate findings and identify technical differentiators.
Engage with sales engineers and field teams to deliver competitive enablement sessions, presentations, and webinars.
Monitor and influence analyst firms (Gartner, Forrester, IDC) with data-driven competitive insights about Check Points AI security capabilities.
Support cross-functional strategy initiatives involving AI security positioning, product development, and market readiness.
Work proactively to identify future competitors, market disruptors, and technology shifts related to AI and cybersecurity.

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 are looking for an experienced and visionary R&D Group Manager to lead the development of cutting-edge web applications and cloud-native services. This role is ideal for a leader with strong technical expertise in modern front-end and back-end technologies, and a deep understanding of AWS cloud architecture. You will be responsible for guiding multiple teams in delivering scalable, secure, and high-performing applications.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Lead and manage several engineering teams focused on full-stack web application development and cloud-native services.
Oversee the design, development, and deployment of applications built with React, Node.js, TypeScript, and JavaScript.
Architect and implement scalable solutions using AWS services such as Lambda, API Gateway, DynamoDB, S3 and more.
Collaborate with UX/UI designers, product managers, and other stakeholders to deliver user-centric solutions.
Promote engineering best practices including code quality, testing, CI/CD, and agile methodologies.
Drive technical innovation and continuous improvement across 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.

We are looking for a QA Engineer to join our management group!

Key Responsibilities
Create complex physical/virtual/cloud environments to test CP products.
Run QA manual and automatic test run on varied environments and setups.
Create test plans for new features, meet with R&D to learn the design, follow up with tests requirement, and write actual tests to cover all of the feature functionality.
Provide reliable real-time status to your manager.