לוח משרות דרושים

We are looking for an experienced Backend developer to join our core backend team.
Who has a passion for Big Data, works in front of the biggest cloud vendors, distributed infrastructure, and a variety of languages, and has a desire to solve complex technological challenges, create new solutions for our customers, and ongoing improve our infra performance.

We use an interesting and mixed technology stack: Micro Services, MongoDB, MySql, Kafka, BigQuery, Kusto, etc.
In this position, you will use your expertise in, writing efficient code, and developing large-scale distributed systems.



Key Responsibilities
Design and build new solutions/features to help our customers improve their cloud security.
Get an experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact.
Constantly Improve existing implementations.
Adapt and take on more responsibilities and own your share of the product.
Work with product managers, business, and other teams at Check Point

We are looking for a talented and experienced software engineering team leader to join our Core Networking group. You will be leading developers building and developing next-generation SASE solution. Dive into the world of microservices, distributed systems, networking, and scalable software design, and leave your mark on cutting-edge developments impacting millions of users and organizations. This hands-on role is perfect for a highly experienced, fast learner, and proactive team lead with outstanding programming skills who thrives on being a leader and is passionate about building flawless products.

The Core Networking group is responsible for building our Network-as-a-Service platform. As a team leader, you will lead a diverse team of software engineers on a mission to solve technological challenges and write scalable, robust, testable, efficient, and easily maintainable code of services that are part of our core Network-as-a-Service components.
This job is located in Tel Aviv (hybrid).

Key Responsibilities
Manage and mentor a team of software engineers from various backgrounds, as well as own responsibility for features, tracking tasks, and meeting deadline
Build our network as a service components
Work with a diverse multicultural team in an agile environment
Write technical docs to improve collaboration and knowledge sharing
Develop advanced services for cloud networking solutions

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.

Were looking for a Data Architect to help our Data Engineering and Data Science teams become more productive, define and lead POCs of data processing, ML and LLM technologies, improve our Data Lake and optimize our data serving platform.

This role will report to VP R&D.

Why is this role so important at Similarweb?

Our R&D team transforms petabytes of data into digital insights for our customers, on a daily basis. This means that we are always on the lookout for new ways to make those processes more efficient, reliable, and scalable.

We are looking for a Data Architect to define the optimal way of processing data, developing new algorithms, and sharing data between different R&D departments and with our customers.

You will impact the work of hundreds of engineers and data scientists in Similarweb, by defining and implementing most suitable ways of data processing and influence our customers by providing top notch infrastructure for a flawless data delivery.

So, what will you be doing all day?

Your role as Data Architect means your daily responsibilities may include:

Define and implement standards and best practices for data engineering teams
Lead improvements to our data processing infrastructure
Research, POC and implement new data technologies
Improve our Data Lake
Mentor data processing and data delivery teams

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.

Were looking for a Sever Engineer to develop and integrate systems that retrieve, process and analyze data from around the digital world, generating customer-facing data.

Why is this role so important at Similarweb?

Similarweb is a data-focused company, and data is the heart of our business.

As a server engineer, you will work at the very core of the shopper solution, designing and implementing complex high scale systems to retrieve and analyze data from millions of digital users.

Your role as a data engineer will give you the opportunity to use the most cutting-edge technologies to solve complex technical problems.

So, what will you be doing all day?

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

You will work in a heterogeneous team alongside data scientists. Together you will tackle complex data challenges and bring new solutions and algorithms to production.
Develop and maintain data processing jobs using big data technologies
Contribute and improve the existing infrastructure of code and data pipelines, constantly exploring new technologies.
You will experiment with various technologies in the domain of big data processing.
You will monitor our data pipelines to ensure data is ingested correctly from various sources, you will identify and fix bottlenecks and failures.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.