Why Join Us?
Organizations are transferring their applications, assets and infrastructures to the cloud. This enables great agility, reduced complexity and easy access to the most advanced technologies.
However moving to the cloud introduces new security threats and attack vectors challenges.
Be part of a team of highly skilled, motivated and talented people working together on our Cloud Network Security solution.
As part of the team you will lead and participate in developing state of the art, high scale security products for cloud environments..

Key Responsibilities
Backend development of essential, daily used, fast-growing platforms
Investigate, implement and share new technologies and ideas
Be part of an organic team developing in multiple development stacks and technologies
Design, implement and scale our architecture components. You will work closely with your fellow developers, QA engineers, cross organization functions and customers.

Why Join Us?
Organizations are transferring their applications, assets and infrastructures to the cloud. This enables great agility, reduced complexity and easy access to the most advanced technologies.
However moving to the cloud introduces new security threats and attack vectors challenges.
Be part of a team of highly skilled, motivated and talented people working together on our Cloud Network Security solution.
As part of the team you will lead and participate in developing state of the art, high scale security products for cloud environments.

Key Responsibilities
Backend development of essential, daily used, fast-growing platforms
Investigate, implement and share new technologies and ideas
Be part of an organic team developing in multiple development stacks and technologies
Design, implement and scale our architecture components. You will work closely with your fellow developers, QA engineers, cross organization functions and customers.
Working with customers, ensuring their needs are met with promptness and high-quality service.
Collaborate with international partners, accommodating different time zones.

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 continue reaching new heights! Come work alongside Similarwebbers who are bright, curious, practical, and good people.

Were looking for a DATA -BACKEND (DATA EXTRACTION) to take an important part in SimilarWebs data extraction team and play a key role in our growing data acquisition operation.

This role will report to the Team manager- R&D.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business. As a data server engineer, you will work in one of the companys core teams and design and implement complex, high-scale systems that retrieve and analyze data from around the internet.

You will be responsible for:

Scraping - Building and maintaining high scale web-scraping operations.
Processing - Creating complex data pipelines that process and enrich our raw data and serve it to different consumers through various databases and data-lakes.
Engineering - Designing and building large scale, high quality systems to support our data infrastructure and production systems
As a Data-Server Engineer in Data Extraction, you will:

Write complex PySpark applications that process, manipulate and validate large datasets, in high quality and under strict SLA.
Develop dockerized high-performance microservices.
Take a major part in designing and implementing complex high scale systems using a large variety of technologies.
Work in a team with talented and independent engineers with whom youll be able to share knowledge and expertise.
learn new technologies, handle a multitude of systems.
Implement solutions in AWS cloud environment.
Take part in monitoring and debugging data pipelines and high scale services in order to identify and fix bottlenecks and failures.

Our Tel-Aviv team develops machine-learning models that serve billions of buyers daily. To do so, we develop state-of-the-art recommendation and ranking systems. We work closely with domain experts to design features and embedding spaces best fitted for eCommerce. Finally, we use Meta's cutting-edge generative models to personalize the experience for our buyers.
Our team also builds AI capabilities to enhance Metas product catalogs to improve ads performance. Catalog-powered ads account for a significant portion of Metas revenue, with unlocking deep semantic understanding of our products being a key strategic lever for revenue growth.
If you're passionate about ML at scale and want to work with an amazing group of people - look no further - come and join us!
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team

Why Join Us?
We are looking for a professional and enthusiastic BI Developer to join our team! The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions. You will help create and manage data processes for actionable insights and operational needs.

If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.


About Us

Perimeter 81, recently acquired by Check Point, is a networking and network security leader that aims to deliver the premier SASE platform in the market. We are redefining the way businesses connect in the age of cloud and remote work with an innovative approach that combines cloud and on-device protection. We have over 200 employees with offices in New York, Los Angeles and Tel Aviv offering a global and multicultural work environment. Perimeter 81 is growing fast and looking for extraordinary team members to help us support our fast-growing customer base of more than 3,000 customers, including leading businesses of all sizes and industries.

Key Responsibilities
As a BI Developer, you will be responsible for:

Design, build, and maintain end-to-end easy-to-use data solutions. This includes orchestration, data modeling, visualization, monitoring, alerting, experimentation models, etc.
Collaborate effectively with cross-department stakeholders to capture analytical requirements
Develop high-level dashboards
Analyze complex datasets, and provide useful actionable recommendations

Our mission is to pioneer advanced Feature and ML Platforms to accelerate the Financial Integrity org, by providing an uncompromised top industry risk, compliance and customer care experiences

AI is one of Metas leading investment areas as part of the financial activity expansion in our portfolio of products. As part of this, we are building best-in-class infrastructure using best-in-class ML technologies

The team is composed of software engineers, machine learning engineers, data scientists in developing state of the art backend systems and ML Infrastructure and our focus is to continue to lead industry standards in the FinTech space.
Software Engineer, Infrastructure Responsibilities
Lead complex technical efforts across many engineers
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Set direction and goals for the team regarding project impact, product quality and engineering efficiency
Lead major initiatives, projects, teams, roll-outs and phased-releases
Helps onboard new team members, provides mentorship and enables successful ramp up on your team's code bases
Proactively identify and drive changes as needed for assigned codebase, product area and/or systems

Be a part of a fast moving product team with a great track record of landing significant impact. The position will involve collaborating closely with product teams to capture our users intentions and applying tech skills to build end to end ML solutions that will drive performance and help better personalizing our ads experiences on top of Meta's state of the art ad systems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Machine Learning Engineer - Core Ads Ecommerce Responsibilities
Partner with product teams and other engineers to solve Shops Ads business problems through ML
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online / production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables that will tie the ML solutions you develop to our ad delivery stack

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!


We are looking for Production Engineer, Production Engineers are software engineers with a passion for exploring new technologies, building utilities and APIs to help us move faster while preserving high standards.

So, what will you be doing all day?

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

Creating frameworks and tools that will be used by 300+ engineers and have a direct impact on how SimilarWeb delivers software and data.
Design, build and manage highly available, scalable and robust services.
Manage thousands of servers and containers by automating infrastructure changes and deployments.
Developing and maintaining our logging, monitoring and alerting stacks.
Troubleshooting and mitigating production incidents as part of an on-call rotation alongside engineers from within all other R&D groups (and make sure we don't get the same alert twice)

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsofts mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

The TI Engineering team is focused on building cutting edge solutions, countering adversary-based threats to Microsoft and its customers through dissemination of threat intelligence, proactive hunting, incident response, and the development of new solutions and methods to detect adversary activity, investigate and respond to the attacks.

Our mission is to monitor, disrupt, and shield against cyber threats by the most sophisticated actors.

We use state of the art cloud technologies, big data solutions, AI at hyper scale and modern UX platforms to deliver the highest value for our customers.

Are you passionate about building next-gen security services?

Are you excited about Security and Cloud technologies?

Are you looking for a live, fast-paced environment, where you can make an impact and grow?
Responsibilities
Continuous Integration and Continuous Deployment: Integrate CI/CD pipelines into the software delivery process. Automate testing, deployment, and rollback procedures to ensure smooth and reliable software releases, Implementing CI/CD best practices, facilitate rapid iteration cycles, improve deployment reliability, and reduce the risk of introducing regressions or failures into production environments.

Service Reliability: Ensuring the reliability and availability of software services by implementing robust monitoring, alerting, and incident response systems. Focus on minimizing downtime and service disruptions to meet reliability targets.

Automation and Tooling: Develop and maintain automation tools and infrastructure to streamline repetitive tasks, improve efficiency, and reduce human error. Leverage tools for deployment, configuration management, and scaling to support the reliability and scalability of services.

Performance Optimization: Analyze system performance metrics and conduct capacity planning to ensure services can handle current and future traffic demands effectively. Identify performance bottlenecks, optimize resource utilization, and implement improvements to enhance service performance.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.