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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 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.

As an AI Backend Engineer at SimilarWeb, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.



Responsibilities:

Design and develop LLM-based intelligent agents that can handle complex market research queries.

Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.

Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.

Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.

Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

We are looking for a creative and passionate Customer Success Engineer to join the Web & Cloud management group, and be the star of our journey of growth and delighted customers of Smart-1-Cloud (our new Cloud product)

The Customer Success Engineer will own the Customer related technical activities and communications, while being practically part of the Smart-1-Cloud product development team.

Smart-1-Cloud is a new cloud product at the inception phase, in the future the responsibility may expand to additional products in the Security Management area.

Key Responsibilities
As part of the team you will master and perform all the technical actions needed for this SaaS product to serve the customers properly.
Be a focal point for escalation from Customer Support (TAC) & Customer Focus Group (CFG) and periodically transfer knowledge and training.
Proactively approach customers on relevant occasions and maintain a rich dialogue with the customers, understanding and improving their experience.
Monitor & analyze the Customer journey in various scenarios: On-boarding, Support, Renewal.
Provide technical and product assistance during the onboarding process for key customers

Check Point is seeking a promising and talented DevOps Cloud Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!

Key Responsibilities
Act as a DevOps Engineer within a highly skilled team, responsible for large-scale operations from development to production.
Design, develop, and maintain Avanans CI/CD solutions, including operating systems, containers, cloud orchestration, and full end-to-end automation.
Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family.
Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment.
Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security.
Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind.
Design and shape our monitoring and logging solutions.
Execute all tasks with top-notch cloud infrastructure security as a guiding principle.

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

We are looking for an Atlassian Platform Expert & Enterprise AI to join our IT Team as a temporary 1 year maternity leave (MLA) replacement, who has a passion for collaboration tools, process optimization, and IT service management, who has a desire to streamline workflows, improve user experience, and ensure the successful implementation and management of Atlassian tools like Jira, Jira Service Desk, and Confluence.
We use an interesting and mixed technology stack: Jira Software, Jira Service Management, Confluence (Wiki), and integrations with various internal systems and third-party tools.


In this position, you will use your expertise in configuring Atlassian tools and will drive the implementation and continuous improvement of Jira-based workflows, manage Jira Service Desk projects, maintain documentation in Wiki, and ensure the delivery of high-quality solutions aligned with business needs.



Key Responsibilities
Manage and design Jira Service Management projects, workflows, screens, custom fields, SLAs etc.
Develop and maintain custom automation rules, queues, forms, and dashboards to improve efficiency and visibility
Collaborate with stakeholders across Check Point departments to gather requirements, provide solutions, and ensure alignment with organizational goals
Monitor system performance, manage platform upgrades, and apply best practices for platform reliability and scalability
Create and deploy AI based projects or solutions that enhance business operations, drive innovation, and improve decision making across various domains

We are looking for a Full-Stack Engineer. This role is perfect for a proactive person with outstanding programming skills. The ideal candidate is a team player who has a passion for designing and developing innovative and scalable solutions, from front-end user interfaces to back-end system logic. A person who has a desire to be responsible for the development of entire features, end-to-end, while demonstrating engineering excellence.

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
End-to-end development of new software features (research, design, development, testing, deployment, monitoring)
Contribute to technological and architectural decisions
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers

ThreatCloud AI is the intelligence engine powering Check Point's entire security ecosystem. We're looking for a talented, passionate and highly motivated software developer who gets excited about building mission-critical systems that can't go down.

You'll architect and scale cloud-native services that analyze threats and stop attacks as they happen - not tomorrow, not in five minutes, but now. Every line of code you write directly impacts the security of enterprises worldwide, operating at massive scale with zero tolerance for downtime.

Key Responsibilities
Design, develop and maintain real-time threat detection services that operate at global scale
Build distributed systems using a mix of relational and non-relational databases to handle high-velocity threat intelligence
Apply cloud deployment best practices to ensure high availability and performance under extreme load
Collaborate in an agile environment where your technical decisions directly impact customer security

Harmony SASE is building the next generation of secure access services - enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation -building the internal platforms, data pipelines, and tooling that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with LLMs, automation frameworks, and internal developer systems - experimenting, prototyping, and building real solutions that change the way we work.

Key Responsibilities:
Design and develop AI-driven internal tools and frameworks that enhance developer productivity.
Build and maintain the infrastructure that supports LLM-based workflows, data pipelines, and automation systems.
Prototype quickly - testing new ideas and iterating based on real feedback and performance data.
Collaborate with DevOps, backend, and product engineers to identify high-impact use cases for AI and automation.
Evaluate new AI technologies and bring the most promising ones into production.
Help define metrics for efficiency and continuously improve development velocity and experience.