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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.

Are you ready to kickstart your DevOps career and be part of the infrastructure powering the future of cybersecurity? Join Infinity NextCheck Points next-generation cloud-native platform that delivers a suite of cutting-edge products like WAF, SD-WAN, and more.

Were looking for a DevOps Engineer to join our dynamic and growing team. This is your chance to work alongside top engineers, gain hands-on experience with production environments, and help scale secure, high-performance services used by customers around the globe. Youll be part of a fast-paced, startup-like environment with the backing and stability of a global cybersecurity leader.

Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of our platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments

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.

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview
Come join us in using big data technology to support small businesses and consumers around the world.

Intuit is a global market-leader in financial software solutions for small businesses and consumers, with products used by tens of millions of customers. Intuits Israel site is growing rapidly, focused on trust, data, and deep insight. The companys success rests to a large extent on the quality of its data; the ability to curate, combine, protect, and analyze this data. For example extensive data allows us to identify and thwart fraudsters in real-time, and analyze stages of invoice to payment processing.

The group is looking to expand its capabilities in the Data Engineering realm to work closely with analysts, data scientists, and software developers.

Responsibilities
Gather data needs from internal customers like product managers and fraud analysts, and translate those requirements into a working database and analytic software.
Develop data-centric software using leading-edge big data technologies. These include database design, batch, and real-time ETL pipelines.
Develop integration with Intuit data capabilities supporting real-time API access to our data
Collaborate with colleagues both locally and in remote locations
Influence the software architecture and working procedures for building data and analytics
Participate in design and code reviews
Manage your own time, and work both independently and as part of a team
Be the go-to person for anything and everything regarding understanding the data, including exploration, pipelines, and analytics