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At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.



We are seeking a skilled Data/ Backend Engineer to design and implement complex, high-scale systems that retrieve, process, and analyze data from the digital world. This role involves developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.



Key Responsibilities:

- Design and build high-scale systems and services to support data infrastructure and production systems.

- Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks.

- Implement dockerized high-performance microservices and manage their deployment.

- Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures.

- Work collaboratively with data scientists, analysts, and other engineers to develop and maintain data-driven solutions.

- Ensure data is ingested correctly from various sources and is processed efficiently.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.
Key Responsibilities:
Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.

Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Design & Own UI/UX of the security solution
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.

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.

Avanan was acquired by Check Point and it is now Check Points Email Security and collaboration solution.

We are looking for a brilliant QA Automation Engineer to join our team. Create and manage a large scale systems using cutting edge technologies in an agile environment.

Work will include maintenance of servers software and OS, scaling our system, tuning of systems, deployment of our application to production environments and monitoring.

Key Responsibilities
Develop and maintain automated test frameworks using Python and Pytest for infrastructure components.
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.
Scale and optimize test automation infrastructure to handle massive production tests efficiently.
Monitor and analyze test results using Grafana to identify performance bottlenecks and areas for improvement.
Generate detailed test reports using Allure to provide stakeholders with insights into test coverage, results, and trends.
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.
Mentor junior team members and provide guidance on test automation techniques and best practices.

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, maintian, and optimize the organization's data center infrastructure, including routers, swtiches, 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 talented Data Engineer to join our analytics team in the Big Data Platform group.
You will support our product and business data initiatives, expand our data warehouse, and optimize our data pipeline architecture.
You must be self-directed and comfortable supporting the data needs of multiple systems and products.
The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity to join a team full of outstanding people making a big impact on Check Point.
We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

This role requires the ability to collaborate closely with both R&D teams and business stakeholders, to understand their needs and translate them into robust and scalable data solutions.

Key Responsibilities
Maintain and develop enterprise-grade Data Warehouse and Data Lake environments
Create data infrastructure for various R&D groups across the organization to support product development and optimization
Work with data experts to assist with technical data-related issues and support infrastructure needs
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for scalability
Build and maintain robust ETL/ELT pipelines for data ingestion, transformation, and delivery across various systems