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Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind Impervas most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technical direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

Join our company and help shape the future of AI security in a fast-paced, high-impact environment.
we are building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At our company, youll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.
Were looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions.
This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments.
What Youll Do:
Own Customer Solution Design
Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements.
Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem).
Translate security and governance needs into scalable technical implementations.
Be the Technical Bridge
Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements.
Partner with Product and R&D to communicate field feedback and influence roadmap priorities.
Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization.
Drive AI Security Implementations
Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments.
Define best practices for secure AI adoption, governance workflows, and observability frameworks.
Guide customers through architecture decisions, trade-offs, and scalability considerations.
Lead Technical Authority
Act as a trusted advisor to CISOs, security teams, and AI leaders.
Support complex technical escalations and architectural challenges.
Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks.

We are looking for a Cloud Platform 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 Runtime Platform team, youll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. Youll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless paved road for developers to deploy and scale their applications with confidence. Youll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, youll fit right in.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

We are looking for a Cloud Platform 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 seeking a highly motivated and experienced Chief system Engineer to join our team and lead the development of sophisticated solutions that push the boundaries of flight.

We are seeking a highly skilled Senior Backend Engineer to join our team.
Youll tackle complex challenges at the intersection of backend development, scale and data - building and optimizing algorithms that power our marketplace.
What will you do?
Design, develop, and optimize backend solutions that implement scalable, efficient algorithmic solutions.
Solve complex performance and low-latency challenges for data-heavy, high-throughput distributed systems.
Collaborate with data scientists, product, and other backend engineers to research, develop, and deploy end-to-end solutions that drive global business KPIs.
Ensure that all backend systems are tested, optimized, and continuously monitored
Develop a strong understanding of the business to provide high-impact solutions to our stakeholders.

Required Backend Engineer
Our Main Engineering Challenges
As a Backend Engineer, you won't just be writing code; you will be solving complex technical puzzles at a massive scale. We operate in a very high-traffic environment.
You will tackle challenges involving big data, predictive AI, and high-performance architecture. within a systems that handle 2.2 billion users per month and process 100 billion events per day.
What will you do?
As a Backend Engineer your mission will be to:
Collaborate with software engineers and data scientists to research, develop, and deploy experiments, features and enhancements with a high impact on our global revenue.
Create, design, develop, test, and monitor your code in production autonomously and reliably.
Work with the Engineering Manager, Product Manager and other teams to frame projects and be accountable for their execution.
Obtain a good understanding of the business to provide relevant solutions to clients.
Be a work facilitator and help communication inside and outside.
Stay up-to-date on new technologies and architectures. If they can solve a problem we have, propose ways to implement them into our current software engineering process.

Required Senior Data Engineer - Core Data Platform Team
Our Core Data Platform team
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business. We thrive on innovation and seek a Senior Data Engineer to help us build and scale the data infrastructure that powers our insights and analytics. This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.
What will you do?
As a Senior Data Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.
Your mission will be to:
Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

we are transforming the delivery industry by turning drone delivery into a real-world, scalable solution. We are looking for a Technical writer to join the company technical documentation team and contribute to the development, documentation, and certification of advanced UAS platforms. This is an opportunity to join a fast-growing company, work alongside a multidisciplinary team, and be part of a dynamic environment in the heart of Tel Aviv. In this role, you will develop and manage technical documentation for advanced unmanned aircraft systems that integrate complex mechanical assemblies, electrical hardware, Embedded software, control systems, production processes, and operational workflows. Working at the intersection of engineering, manufacturing, maintenance, and regulatory compliance, you will translate highly technical information into clear, structured documentation that supports the certification, production, operation, and maintenance of our companys UAS platforms. You will work closely with mechanical, electrical, software, systems, and manufacturing engineers, as well as with production managers, mechanics, flight operations, and regulatory affairs teams, gaining deep exposure to the full product lifecycle. The role is ideal for someone who enjoys diving into complex multidisciplinary systems, understanding how they work in practice, and turning engineering knowledge into precise, usable documentation that supports safe and scalable real-world operations. Main Responsibilities
* Review and interpret technical standards and regulatory requirements.
* Work with aviation regulatory authorities to obtain approvals and authorizations supporting the companys activities.
* Create, edit, and manage technical manuals and documentation across the product lifecycle.
* Revise and refine technical documents in collaboration with engineering, product, manufacturing, and procurement teams.
* Develop a deep understanding of the design, performance, and functionality of hardware and software systems and components.
* Research and analyze technical information to produce clear, accurate, and comprehensive documentation.
* Establish policies and procedures supporting manufacturing, procurement, Quality Assurance, and related operational processes.

We are seeking a Data Product Manager to join our Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that our business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower our business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with our global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.

Required Senior Full Stack 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.
What will you do?
About the Performance Campaign Team:
We are a team of engineers focusing on making the Performance Campaigns for our customers efficient, easy to use, and powerful. Our mission is to:
Enhance operational efficiency for our customers and our internal operations team using our Ad Manager for Performance (mid & low funnel) campaigns
Ensuring the scale and the robustness of the Performance pipeline to handle attribution from publisher to advertiser websites/apps
Build innovative solutions to help our customers achieve new goals and/or better KPIs (CTV Performance, Dynamic Product Ads, DCO, etc.)
Develop robust and safe code that is directly embedded in the advertiser's website, plus the additional tooling to help this integration
Enhance our capacity by building new features or bridging features within our new global platform.

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.