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We are looking for a QA engineer to join our CloudGuard Network Security & Data Center QA team.

With a passion for cloud technology, and a desire to solve complex technical challenges with a proactive approach to constant improvement.

We use interesting and mixed technology:

Public cloud based technologies: AWS, Azure, and GCP Cloud Technologies.

Private cloud based technologies: VMware, Hyper-V, KVM (RHEL or Ubuntu), Nutanix, Cisco ACI and Proxmox.

In this position, you will use your expertise in cloud and virtual environments, complex customer environments, and large-scale systems will design a test plan, run tests and maintain high performance.

The ideal candidate will get experience with the biggest public cloud vendors, test cutting-edge technologies, and have a great opportunity to grow and create impact.

Key Responsibilities
Plan, conduct, and monitor testing to ensure finished product quality
Get experience with Cloud and Virtual technologies, and have a great opportunity to grow and create an impact on Check Point products.
Testing the project from the initial stage to the finished product
Work with RnD, customers, and other teams at Check Point.
Assist in reproducing issues and work with internal teams to provide resolutions/knowledge transfers.

Were looking for a highly motivated and experienced automation engineer with a strong passion for quality and performance. If youre passionate about quality and efficiency, then join our team. You will play an important part in Harmony SASEs product development process. You will create and implement strategy for quality coordination and automation testing, as well as suggesting solutions to identified quality problems.

You will also be responsible for designing, developing, and executing performance testing strategies for our cybersecurity solutions to ensure optimal performance and scalability. You will collaborate with development teams to identify performance requirements for new features and releases, and work with them to ensure that performance issues are addressed before they impact our customers. The successful candidate will have a strong technical automation background, experience with performance testing tools and methodologies, and a passion for delivering high-quality software. If you're a self-starter who is eager to learn and take on new challenges, we encourage you to apply.

Key Responsibilities
Lead the development and maintenance of automated test frameworks using Python and Pytest for infrastructure components.
Drive the implementation of Behavior-Driven Development (BDD) practices to enhance test clarity and collaboration.
Architect, design, and execute large-scale automated test suites for infrastructure systems deployed on AWS.
Work closely with cross-functional teams to define and refine automation strategies, ensuring alignment with business objectives.
Scale and optimize test automation infrastructure to support extensive production testing efficiently.
Monitor, analyze, and improve test results using Grafana to enhance system performance and reliability.
Provide in-depth test reports using Allure, delivering actionable insights into test coverage, results, and trends.
Troubleshoot complex issues discovered during testing and collaborate with development teams to drive quick resolutions.
Stay ahead of industry trends, emerging technologies, and best practices in test automation and infrastructure testing.
Mentor and guide junior automation engineers, fostering a culture of continuous improvement and technical excellence.
Contribute to process improvements, automation strategy enhancements, and best practice adoption across teams.

We are seeking an experienced and passionate Product Manager to join our Quantum Network product family team.

As a Product Manager, you will play a key role in driving the strategy, development, and successful delivery of our flagship cybersecurity solution.
You will work closely with cross-functional teams, including engineering, marketing, sales, and customer support, to ensure the product's continuous innovation and market success.



Key Responsibilities
Develop and own the product strategy, vision, and roadmap for the Quantum Network product family, aligned with the overall company goals and market trends.
Conduct thorough market research, competitor analysis, and customer feedback analysis to identify customer needs, pain points, and market opportunities.
Collaborate with engineering teams to define and prioritize product features, enhancements, and new releases based on business priorities and customer requirements.
Work closely with the UX/UI team to ensure intuitive and user-friendly product design, enhancing the overall customer experience.
Drive the product development process from concept to launch, including feature planning, user stories creation, and product testing.
Collaborate with the marketing team to develop and execute go-to-market strategies, positioning, and messaging for product launches and updates.
Monitor product performance and customer feedback post-launch, and make data-driven decisions to continuously improve the product's effectiveness and market competitiveness.
Engage with customers, sales teams, and customer support to gather feedback, address concerns, and identify new business opportunities.
Monitor industry trends and technological advancements, ensuring that the Quantum Network product family remains at the forefront of the cybersecurity market.

Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.