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We are looking for a Tier 3 Support Engineer to join our global Harmony SASE support team at Check Point.

If you have a passion for problem-solving, technical excellence, and ownership of complex technical issues, we want to hear from you! This role requires a proactive and customer-focused approach, ensuring continuous improvement and high-quality technical support.

Key Responsibilities
Take full ownership of technical issues for Harmony SASE customers, including troubleshooting, root cause analysis, resolution, and communication.
Lead internal escalations, working closely with Customer Success, Sales, and R&D teams.
Debug software-related issues, including analyzing logs, troubleshooting deployments, and working with R&D to resolve complex technical problems.
Utilize scripting (Python/Bash) to automate troubleshooting, log analysis, and improve operational efficiency.
Work with Linux, networking, VPNs, and cloud environments to support customers effectively.
Create internal knowledge base (KB) articles to enhance troubleshooting efficiency and knowledge sharing.
Provide product feedback and technical insights to internal teams.
Mentor and support junior engineers, fostering their technical growth and enhancing team collaboration.
Manage support-related projects, including training programs and release readiness initiatives.

This role combines backend, frontend, and data-oriented development, offering ownership of end-to-end features and the opportunity to improve large-scale research systems and Check Points cyber security products. We are looking for an independent, motivated developer who enjoys solving complex problems and collaborating across Cyber Research and Threat Prevention.

Key Responsibilities
Build and maintain scalable research platforms and high-performance services
Design, develop, test, deploy, and monitor end-to-end features
Collaborate with analysts, researchers, engineers, tech leads, and PMs to deliver effective solutions
Develop cybersecurity-focused features, data pipelines, and automations that support threat intelligence and security products
Research and evaluate new technologies to support architectural and product decisions

We are looking for a Network Engineer, who is motivated, self-managed, team player with good interpersonal skills to join us!

Join our dynamic Early Availability group as a Network Security Engineer, where you'll be at the forefront of shaping Check Point's future portfolio products. This pivotal role involves close collaboration with customers, development teams, QA engineers, and managers across various levels, contributing significantly to the ongoing enhancement of Check Point products.

Key Responsibilities
Engaging with customers worldwide to understand and address their technical requirements.
Deploying the company's cutting-edge Beta software and hardware on customers' sites, ensuring a seamless experience prior to market release.
Collaborating directly with development teams, QA engineers, and managers at all levels.
Conducting comprehensive testing, debugging, and documentation of beta deployments in simulated customer environments and during on-site activities.
Providing effective technical support to beta testing customers.

We are looking for a new Tier 3 Team Leader talent to join our team!

Key Responsibilities
Lead and manage a team of senior Tier 3 Support Engineers across EMEA/APAC.
Act as a technical mentor, guiding the team through deep investigations involving network protocols, VPNs, cloud integrations, and Linux systems.
Own escalations from high-value enterprise customers, driving resolution and ensuring customer satisfaction.
Collaborate cross-functionally with Product, R&D, Sales, and Customer Success to remove blockers and improve the customer experience.
Drive internal projects, process improvements, and training programs to scale the teams capabilities.
Support global initiatives and align with counterparts in the US to ensure consistent follow-the-sun support coverage.
Represent the customers voice internally, identifying trends, recurring issues, and areas for improvement.
Maintain a hands-on technical presence - this is a player-coach role.

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 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.