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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.

Join us at Check Point Software Technologies as a Software Development Team Lead and play a pivotal role in revolutionizing how organizations defend against cyber threats.

As part of our team, you'll not only lead a group of talented individuals in developing cutting-edge cybersecurity solutions but also have the opportunity for personal and professional growth within our company. We believe in investing in our employees' development and offer opportunities for advancement as we continue to innovate and expand our reach in the cybersecurity industry.

If you're passionate about innovation, driven by excellence, and eager to make a difference in the ever-evolving world of cybersecurity, we want to hear from you.

Key Responsibilities
Lead and manage a team of professional Software Developers, providing direction, guidance, and mentorship.
Collaborate with cross-functional teams to define project requirements and objectives, ensuring alignment with company goals.
Drive the development and implementation of innovative cybersecurity solutions, leveraging emerging technologies and industry best practices.
Monitor project progress and performance, identifying risks and implementing mitigation strategies as needed.
Foster a culture of innovation, collaboration, and continuous improvement within the team.

Are you ready to join and build the next-generation Web Application Firewall (WAF) SaaS platform? This is a unique opportunity to take ownership of a dream team in a fast-paced, startup-like environment while enjoying the stability and resources of an enterprise company.

We're looking for an outstanding individual to join the development of our WAF SaaS platform at Check Point, the global leader in cybersecurity. This role offers a rare chance to design and shape a platform that will protect web applications and APIs across a wide range of environments, influencing thousands of customers and developers worldwide. Youll have the opportunity to create a scalable, resilient management system that addresses the complex security needs of the future.

Key Responsibilities
Develop robust backend services and microservices in Node.js and Python
Design and build real-time data processing pipelines with Kafka
Create scalable and secure APIs and infrastructure components
Collaborate with frontend developers, product managers, and DevOps engineers to deliver end-to-end features
Contribute to architectural and design decisions for a cloud-native platform
Tackle performance, reliability, and scalability challenges in a production-grade environment

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we havent stopped growing since!

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.

This role will report to our Datalabs Team Manager in the, R&D.


Why is this role so important at Similarweb?

Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business.

As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions

As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.

So, what will you be doing all day?

Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:

Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use