Join our AI & Innovation group as an AI Software Developer and play a key role in shaping the future of AI-driven security solutions. You'll work with a team of open-minded, ambitious individuals who thrive on collaboration, continuous learning, and delivering real-world impact.

Our group is building an ambitious, AI-powered product at the heart of Check Points strategic vision combining cutting-edge AI technologies with world-class cybersecurity expertise. This role offers a unique blend of deep technical challenges, hands-on development, and meaningful product impact. Youll have access to some of the best cybersecurity data sources available, working in a fast-paced, innovation-driven environment that combines the agility of a startup with the stability of a global leader.

If you're passionate about building state-of-the-art systems, solving complex engineering problems, and working with a great team to deliver real impact wed love to hear from you.



Key Responsibilities
Design, architect, and implement a complex AI-powered security product
Develop and optimize scalable, reliable, and high-performance data pipelines, APIs, and cloud services
Integrate AI models and in-house agents into a robust production systems
Collaborate closely with cross-functional teams, including data scientists, software engineers, and product teams, to drive innovation from concept to deployment

We're a high-impact, fast-moving data fabric team within the CX Platform at Cisco, serving as the core of our enterprise data platform. Our team blends data engineering with a strong focus on scalability, infrastructure, and data-intensive workflows. You'll be working alongside seasoned engineers with deep expertise in modern data pipelines, cloud-native architectures, AI/ML integration, and large-scale distributed systems offering exceptional opportunities to learn cutting-edge technologies and advance in a rapidly evolving field.

Your Impact

As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric an enterprise-grade system that enables data-driven decision-making and high-impact product features across Cisco. You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:
Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
Help shape engineering standards, technical architecture, and operational best practices within the team.

The WAF Core Engine team is expanding! We're looking for an experienced and independent software engineer to join us. As part of our CloudGuard WAF product, you'll play a key role in designing and developing cutting-edge security solutions to tackle evolving industry challenges. This role requires combining low- and high-level programming, architecting complex systems, and leveraging data analysis to enhance performance and detection capabilities. Its a unique opportunity to drive innovationnot only within our product but across the broader security landscape.

Be part of a new team in a global, stable company while enjoying a dynamic, start-up-like environment.
Shape the future of CloudGuard WAFyour contributions will have a direct impact on both our product and the industry.
Solve diverse, cutting-edge challenges in web protection, AI-powered threat detection, and data-driven security.
Collaborate with passionate experts, expand your skill set, and advance your career in one of the most exciting domains in cybersecurity.

Design, develop, and own end-to-end POCs and core features for the WAF engine in complex environments.
Write high-quality, secure, and efficient code following best practices.
Work closely with cross-functional teams (R&D, Product, QA) to deliver innovative and high-impact solutions.
Utilize data analytics and big data technologies to detect and mitigate security threats.
Provide technical support, troubleshooting, and maintenance for developed functionality.


23039

Cyber-attacks are increasing in volume and sophistication, evading traditional defenses, and posing a growing risk to enterprises from outside criminal organizations and malicious insiders in the organization. The Microsoft 365 Defender suite leverages the Microsoft 365 security portfolio - including Microsoft Defender for Endpoint, Office, Cloud Apps and Identity, as well as Microsoft Sentinel and XDR - to automatically analyze threat data across domains, building a complete picture of each attack in a single dashboard to monitor, hunt, detect and remediate threats. With this breadth and depth of clarity defenders can now focus on critical threats and hunt for sophisticated breaches, trusting that the powerful automation in Microsoft's security products detects and stops attacks anywhere in the cyber-attack kill chains and returns the organization to a secure state. Join our team of engineers to develop cutting edge detection and remediation systems. Be a part of defining and shaping the next big leap in the product's journey. We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong.
Responsibilities
As an engineer on our team, you will be working on cutting edge technologies to deliver exciting new features that impact and protect millions of users, with cross-team and cross-discipline collaboration (engineering, PM, design, research and data science). You will work closely with experienced engineers and be part of an agile and fast-moving development team - and will have a role in mentoring your more junior peers and helping them succeed. You will be expected to apply a critical view of our infrastructure, technologies and development process, proactively pushing to improve the product and our group. Our group is consistent from both feature teams and platform teams and we are looking for candidate with passion in either or both.

The Edge AI group is composed builds Agentic platform designed to support complex scenarios, including RAG. In addition, the group is building Video analysis at the edge and the cloud (Azure Video Indexer) that allows customers to get insights from videos at scale. Products involve cross team collaboration between product managers, data scientists and backend / full stack Engineers



We focus on creating real value for our customers by placing AI efficiently on top of video streams at scale and building a UX that allows organizations to explore, interact with their data and integrate the solution into their own systems.


Individuals in the team get a chance to impact the industry working across various areas, our data science team leads research and implementation of AI components, full stack developers work on cloud and edge technologies from the design until features arrive to the customer. Being at the center of innovation provides great opportunities for engineering excellence in an amazing work environment in a team that will allow you to develop, grow and contribute.
Responsibilities
As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plan, have open mind and eventually be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with Microsoft values.

We are looking for a strong, experienced, and motivated senior software developer to join our Gateway and Provisioning team and help shape the future of core Check Point management capabilities across a wide range of technologies and products.

This role requires a deep understanding of both applicative design and system-level thinking, with the ability to drive complex feature development from concept to deployment.

As a senior full-stack developer, you will take ownership of key components across all phases of the development lifecycle product and technical design, implementation, testing, and release. You will work with a rich technology stack including Java, React, Node.js, JavaScript, Spring, C#, and WPF, in close collaboration with field teams and fellow R&D engineers.

Key Responsibilities
Design and build state-of-the-art cybersecurity management solutions used by thousands of enterprises worldwide.
Lead and drive features from idea to production requirements, architecture, design, coding, testing, deployment, and ongoing support.
Collaborate across teams and disciplines to deliver robust, scalable, and user-friendly applications.
Maintain high development standards, including clean code, performance, reliability, and security.

Job Id: 23855

Check Point is seeking an experienced and motivated Group Manager to lead the development of our Windows Endpoint Security Client. This role is a key part of our R&D organization and will be responsible for delivering advanced protection and detection capabilities to millions of enterprise endpoints worldwide.

You will lead a team of approximately 30 engineers, driving all aspects of development from design and implementation to performance, security, and maintainability, while working closely with product and cross-functional teams

Key Responsibilities
Lead a group of ~30 engineers focused on the Windows Endpoint Security Client, including architecture, development, quality, and delivery.
Own the technical strategy and execution for the Windows client, ensuring alignment with product requirements, threat landscape evolution, and customer feedback.
Drive the development lifecycle from planning and design to testing and deployment using modern, agile practices.
Ensure delivery of secure, high-performing, and robust client software, compatible with evolving Windows platforms and enterprise environments.
Collaborate with Product Management, Security Research, QA, and cross-functional R&D teams to build innovative and differentiated features.
Champion engineering best practices in code quality, testing, automation, and CI/CD pipelines.
Support escalations and field issues, ensuring customer success and product reliability in real-world deployments.
Build and foster a high-performing, collaborative, and engaged engineering team.

Join our dynamic Data & ML Engineering team in iAds and play a pivotal role in driving data solutions that empower data science, finance, analytics, and R&D teams. As an Experienced Data Engineer, you'll work with cutting-edge technologies to design scalable pipelines, ensure data quality, and process billions of data points into actionable insights.
Success Indicators

In the short term, success means delivering reliable, high-performance data pipelines and ensuring data quality across the product. Long-term, you'll be instrumental in optimizing workflows, enabling self-serve analytics platforms, and supporting strategic decisions through impactful data solutions.

Impact

Your work will directly fuel business decisions, improve data accessibility and reliability, and contribute to the team's ability to handle massive-scale data challenges. You'll help shape the future of data engineering within a global, fast-paced environment.

Benefits and Opportunities

You'll collaborate with talented, passionate teammates, work on exciting projects with cutting-edge technologies, and have opportunities for professional growth. Competitive compensation, comprehensive benefits, and an inclusive culture make this role a chance to thrive and make a global impact.

What you'll be doing
Designing and developing scalable data pipelines and ETL processes to process massive amounts of structured and unstructured data.
Collaborating with cross-functional teams (data science, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.
Building and maintaining tools and frameworks to monitor and improve data quality across the product.
Providing tools and insights that empower product teams with real-time analytics and data-driven decision-making capabilities.
Optimizing data workflows and architectures for performance, scalability, and cost efficiency using cutting-edge technologies like Apache Spark and Flink.

Cyberint, a market leader in External Risk Management, empowers global organizations to detect, respond, and remediate external threats efficiently. Now part of Check Point, Cyberint continues to grow and innovate at the intersection of cybersecurity and cloud-native SaaS technologies.

Join Our Operations Team

We are seeking a proactive, experienced Site Reliability Engineer (SRE) to join our dynamic Operations team. Youll be working on a cutting-edge SaaS solution that runs on AWS (EKS-based Kubernetes infrastructure), supporting an architecture with many moving parts. If you're driven by reliability engineering, love automation, and want to make an impact on mission-critical platforms, this role is for you.

What Youll Do

As an SRE at Cyberint, you will be instrumental in ensuring the observability, stability, and scalability of our platform. You will develop automated solutions and monitoring tools to proactively detect and respond to incidents, improve system resilience, and collaborate with engineering teams across the company to embed operational excellence into our product lifecycle.

Additionally, you will help evolve our AI-driven operational and monitoring tooling, including our on-call assistant bot, which leverages AI technologies to streamline incident resolution, automate repetitive tasks, and support real-time decision-making for engineers.

Key Responsibilities
Design, implement, and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) to detect and prevent reliability issues.
Develop tools and automation (Python, Bash, etc.) for improving infrastructure reliability and operational efficiency.
Collaborate with R&D and Product teams to embed reliability-first principles into every stage of the development process.
Participate in and improve incident response processes, including running blameless postmortems and implementing preventive measures.
Enhance our Infrastructure-as-Code (IaC) and CI/CD practices to streamline deployments and reduce risk.
Maintain and extend internal AI-driven tools, such as bots that support SRE workflows (on-call management, triaging, etc.).
Document infrastructure, playbooks, and operational procedures to facilitate onboarding and knowledge sharing.

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Andromeda is a scalable and flexible software-defined network (SDN) stack that provides network virtualization and advanced networking features, such as routing, firewall and load balancing, for Google Compute Engine (GCE).

USPS/Andromeda is the software that runs on every physical host in the Google Cloud fleet and provides networking capabilities to Google Cloud customers. It is a core component of Google's software-defined network (SDN), Andromeda. It is based on the C++ programming language running in User Space.

The Tel Aviv (TLV) teams are working on core Andromeda products and components, including Firewall, Cloud NAT, and Hoverboard.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
Develop the mid-term technical goal and roadmap within the scope of your often multiple teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).