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Required Senior DevOps Engineer
Our main Engineering challenges
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.

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling, and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.

Were looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.

We are looking for a Systems Engineer to support the development, testing, and validation of a multi-sensor system. The role is hands-on and execution-focused, with strong involvement in field tests, lab work, and system-level integration.
Key Responsibilities
Plan and execute lab and field tests for complex sensor-based systems
Work closely with software, algorithm, and hardware teams during development and testing
Support system integration, bring-up, and troubleshooting
Collect, analyze, and validate system data from tests and experiments
Maintain clear system documentation, test procedures, and reports
Manage and support ICDs and system configurations
Participate in customer demonstrations and internal technical reviews.

Were building a unique agent-based AI system for engineering domains - and were looking for a sharp Python Developer who learns fast and wants to build real AI systems in production (not just prototypes).
At our company, we operate at the intersection of advanced signal processing and AI innovation, delivering cutting-edge technological solutions within secure, mission-critical environments.
What Youll Do
Develop backend components for an AI system based on LLMs and AI agents
Implement efficient algorithms and scalable data processing workflows
Collaborate with AI researchers to integrate state-of-the-art models
Optimize performance for real-time, high-throughput systems.

Required Software Engineer - Finance Solutions
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI.
What will you do?
As a Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

As a Senior Customer Success Manager, you will be responsible for nurturing and growing relationships with core customers worldwide and working with internal teams to ensure the best possible customer experience.

This position requires flexibility with a mix of business, operational, analytical, and support tasks.

Responsibilities:
Manage relationships with key customers through all lifecycle stages (from initial onboarding to existing partnerships) across the world and in multiple time zones.
Build long-term relationships with customers to ensure retention and develop new business opportunities.
Identify customer pain points and work closely with internal teams (business, ops, product, R&D) to prioritize solutions and improve the overall customer experience.
Monitor customer activity and prepare reports/analytics to take a proactive role in reaching and exceeding business KPIs.
Help define and manage various internal processes required to ensure the best possible experience for our customers.

As a Senior Software Engineer, you will not just write code-you will own problem spaces end-to-end. From shaping scope to aligning across functions, youll drive technical excellence and delivery within the team. Youll mentor and coach other engineers, help set the quality bar, and influence the long-term architecture and culture of the engineering organization.

This is a hands-on leadership role where youll be expected to contribute directly, while also enabling others to deliver and grow.

What Youll Do
Own projects end-to-end: from scoping, design, and implementation to delivery and ongoing improvement.

Drive technical alignment and foster collaboration across functions and teams.

Set and maintain the engineering quality bar through best practices, reviews, and continuous improvement.

Mentor, coach, and support the growth of other engineers on the team.

Balance architectural decisions with business needs, scalability, and delivery timelines.

Design and build maintainable, extensible, and performance-minded services / APIs.

Advocate for modern engineering practices.

Required Senior Software Engineer - Finance Solutions
What will you do?
As a Senior Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
We are looking for a motivated engineer who will be interested and ready to step into a team lead role in the near future based on performance and departmental growth.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

Were looking for a talented UX Designer to join our team and help make it all a reality.

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You will collaborate with stakeholders, developers, and users to design and synthesize intuitive workflow-centric experiences for the platform. You must have strong problem-solving abilities and a user-centric perspective. The personalities we are looking for are self-driven and energetic with the ability to collaborate across disciplines and geographies. The right candidate must possess a clear passion for discovering and solving customer problems, a commitment to excellence, and an ability to see beyond the immediate challenges, several years into the future.

Responsibilities:

Conceptualize, design, and prototype tools
Design visual assets/iconography for implementation in software.
Work with developers to ensure design integrity during implementation.

We are looking for a Senior Data Scientist to join a team of applied research.
The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers.
The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B.
Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes.
What will you do?
As a Senior Data Scientist, your mission will be to:
Innovate at Scale: Stay at the forefront of AdTech research, focusing on CTR prediction, online learning regimes, and high-dimensional embeddings.
Bridge Research & Engineering: Collaborate with cross-functional teams to identify research gaps and translate them into production-ready features.
Own the Lifecycle: Lead the end-to-end process-from reading the latest ArXiv papers to A/B testing and monitoring model performance in a live environment.
Experiment Freely: Dedicate time to "deep-work" sessions, testing unconventional hypotheses and new algorithmic approaches.