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Required Senior Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Build our ML platform and automate the ML lifecycle.
Drive business-wide ML projects from an engineering perspective.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

Required Senior Software Engineer, Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer on the Infrastructure Engineering R&D group, youll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Solve production issues in the framework code
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Here are some of the things software devs in our group did in the last several months:
Rewrote part of our recommendation servers to reduce serving time p999 by >40%
Rolled out custom Cassandra compaction strategy
Created and improved our Kafka consumer designed for very high scale
Developed a brand new metrics pipeline, ingesting over 100B metric messages per day
Anomaly detection engine for application metrics
Rolled out a new custom home-built our authentication service
Many more things
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

Required Senior Software Engineer
About the Role
The Policy team is building our Policy Protect app, a web application platform that merchants can configure and monitor their business policies in different use-cases such as refunds, returns, and more. Our work involves a robust analysis flow and models that evaluate claims in both offline and online environments to determine their legitimacy and prevent fraud.
Our Stack: Node.js, Kafka, Elastic, Aerospike, Docker, Kubernetes, Prometheus, Grafana.
What You'll Be Doing
Design and develop a highly reliable, available, and scalable architecture for our core services in a new promising product
Deploy your code to production daily (we have advanced CI/CD pipelines)
Be a strong owner of production systems, keeping them running smoothly
Active part in planning the team roadmap and products
Collaborate with other engineering teams and product managers teams to work on cross-department projects.

We are looking for a Kernel Engineer.
Work with a highly skilled engineering team in the design, implementation, and support of kernel technologies across all Apple products

We are looking for a team player who can lead a large-scale architectural change as part of our Payout group that focuses on the platform that allows paying out our thousands of global customers while creating a unified experience in different world regions.

As a Senior Java Developer joining the Payout group, you will lead the design and development of our next-generation infrastructure, microservices, and cloud-native applications to support growth and global scalability needs. You will also take a crucial part in designing our real-time data services and help with our shift to event-driven architecture. In addition, you will participate in the planning and design of our distributed infrastructure over K8s.

Please note:

Please submit your CV in English.
We are located in Herzliya and work in a hybrid work mode.