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As a Senior Big Data Engineer, working within our Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

we are seeking for an Technical Project Manager This role requires managing technical projects in the field of information systems, working with vendors, and working with a marketing system. Full-time position, Sunday-Thursday, based in Petah Tikva.

we are seeking for an Systems Analyst This role requires leading and developing system specifications, interfaces between systems, reports, and data cleansing processes, as well as working with business processes in the fields of smart metering and consumer systems. Full-time position, Sunday-Thursday, based in Gan Sorek.

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector.
With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of UVeyes inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
* Design and Development of novel, robust and efficient Machine Learning / Deep Learning algorithms for major Vision challenges.
* Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
* Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data -centric AI methodologies (active learning, data curation).
* Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for Real-Time inference constraints (on Edge/Cloud devices).

We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.
What will you do?
As a Senior Data Scientist, your mission will be to:
Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.

We are looking for a Cloud Platform Engineer / DevOps Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.

Our main Engineering challenges at our company
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.