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We are looking for a highly skilled Technical Team Lead to drive two of the most critical components in our product: the Sensor and the Hybrid (our edge deployment layer).
This is a hands-on leadership role combining deep technical expertise, architectural ownership, and the ability to build a strong, distributed team.

Youll work closely with architects, product, and field engineers while playing a central role in shaping the foundation of our next-generation data collection and delivery pipeline.

What will you do?

Lead a strong technical team
Manage the data pipeline and lead the development of a Data Fetcher component to be deployed in either cloud or customer on-premise environments.
Oversee remote management and deployment processes for sensors and Edge servers at customer sites.
Research, Experiment and deploy new technologies to allow data collection from a multitude of resources facing challenging constraints.
Ensure seamless integration with multi-cloud environments, APIs, and customer-specific systems.
Develop solutions that meet SaaS standards while maintaining true on-premises functionality.
Optimize system performance (RPM, CPU usage) to ensure efficient use of resources without scaling infrastructure unnecessarily.
Help define and shape the team as a major knowledge center in the company.
Influence and build core product components that make a real impact in the field- not maintenance work.

Our Algorithm Research & Development team operates at the cutting edge of Cyber over RF (CRF) a unique and multidisciplinary field that blends signal processing, RF experimentation, physics-based modelling, and cyber research.

We work end-to-end: from early-stage research and concept development, through algorithm design and simulation, all the way to lab prototypes and real-world field testing. Its hands-on, intellectually demanding, and incredibly rewarding.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

Required Staff Algorithm Engineer
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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.

we are looking for a Senior Full Stack Engineer to join our community!
As a Senior Full Stack Engineer, you will play a key role in designing, building, and scaling core systems and features.
You will take ownership of a new and developing product, working end-to-end from architecture through implementation to delivery.
Youll design and develop scalable backend services, build full-stack product features, and integrate with diverse external APIs.
Your work will directly impact system reliability, scalability, and performance.
Youll collaborate closely with Product, QA, Design, and DevOps teams in a fast-paced, delivery-driven environment where data and innovation guide every decision.
Tech stack: Python, React, TypeScript, AWS, Kubernetes, SQL/NoSQL databases.

Required Staff Algo Data Engineer
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As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

For a leading team, we are looking for a Vulnerability Researcher to research and develop cutting-edge cyber projects.

We are facing extremely complex technological challenges and need talents to help us overcome them.

Do what you love:

As a Vulnerability Researcher, you will be conducting top-notch security research on one of the most prominent operating systems in the market.

In this role you will be:

Playing a major role as part of our vulnerability research group

Research operating systems internals, kernel, application codebases, vulnerabilities, and exploits.

Design and implement the full chain solution while integrating with state-of-the-art security solutions of different domains.

we are looking for a Senior QA Engineer to join our community!
As a Senior QA Engineer, you will play a central role in ensuring the quality of our software and serve as a key function within the QA team.
You will guide, support, and implement a shift-left approach, actively collaborating with developers to integrate testing practices earlier in the development lifecycle, addressing quality considerations in feature lifecycle stages, and minimizing potential issues before they escalate.
In addition, you will take a significant part in the organizations automation efforts, helping to define, implement, and maintain automated tests to ensure high-quality software while enabling faster and more r:eliable releases.
Responsibilities:
Plan, design, and run comprehensive test plans for both new and existing complex features, leveraging a deep understanding of product, business, and technical requirements.
Champion a shift-left testing philosophy, actively collaborating with developers to integrate testing earlier in the software development lifecycle.
Proactively identify and address potential quality issues at the early stage of development, minimizing risks and enhancing overall product quality.
Conduct root cause analysis for identified bugs, leveraging analytical skills to pinpoint the underlying issues and collaborating with the team to implement effective resolutions.
Collaborate with developers automation engineer to drive the organizations automation efforts. Define scenarios for automated tests, write and maintain automated test scripts, and ensure strong regression coverage.
Work independently to execute assigned tasks, taking ownership of the testing process and ensuring that deadlines are met.
Continuously seek opportunities to improve processes, tools, and practices, helping the team evolve and maintain high-quality standards.
Mentor and guide team members in QA best practices, test design, and automation approaches, fostering knowledge sharing and supporting continuous learning within the team.

Required SRE Security
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The ideal candidate will bridge high-level security governance with hands-on, automated security implementation across the Software Development Life Cycle (SDLC).
This individual will be a critical enabler, empowering teams to move swiftly and deliver exceptional value to our clients, all while upholding the required security standards. A proven track record in successfully balancing rapid innovation with robust security practices is essential for this role.
How youll make an impact:
As the DevSecOps Leader / Program Manager, you will be responsible for creating a secure-by-design culture and leading the operational implementation of our security strategy. You will:
Build the Secure SDLC (SSDLC) Strategy: Develop, own, and execute the companys comprehensive DevSecOps strategy, focusing on automation to manage security at scale from code check-in to production deployment.
Lead Key Security Engineering Initiatives: Lead and manage security engineering programs, including:
Maturing the security tools stack (e.g., implementing WAF, and automating SCA/SAST tools).
Owning the bug bounty and responsible disclosure programs triage and remediation tracking.
Enhancing the Identity and Access Management (IAM) framework through concepts like Just-In-Time (JIT) and Zero Trust principles.
Operationalize CVE Tracking and Remediation: Design and implement a scalable system for discovering, tracking, and prioritizing Common Vulnerabilities and Exposures (CVEs) in third-party and custom code. Drive the engineering teams to achieve security risk remediation goals by providing clear, actionable data and automated patching mechanisms.
Measure & Drive Improvement: Develop and maintain key DevSecOps metrics (e.g., Mean Time To Detect/Remediate MTTD/MTTR, percentage of code coverage by SAST/SCA tools) to measure the effectiveness of automated controls and provide a data-driven picture of the application security posture.
Embed Security Engineering: Spearhead R&D DevSecOps initiatives, partnering directly with engineering teams to select, deploy, and maintain security tools, establishing security gates and best practices throughout the product development lifecycle.

As a vulnerability researcher, your main focus will be on vulnerability discovery and exploitation of most prominent OS`s in the market, and on various challenging platforms.

Required Site Reliability Engineer Panda team
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As Site Reliability Engineer on the IT Production team in our Tel Aviv Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

Required Site Reliability Engineer
Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our TLV Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.
Our Tech Stack:
Linux, Kubernetes, nginx, Istio, AWS, GCP, Azure, Alicloud, Fastly, Terraform, Consul, Prometheus, Loki, Grafana, Airflow, Redis, Kafka, Vector, Hadoop, Cassandra, Vertica, MySQL, HDFS, ELK.

As an Embedded security researcher, you will be dealing with:
Embedded systems reverse engineering.
Kernel drivers research and development.
Real-time Embedded End-to-End Low-Level software developments on various unique embedded platforms and environments.

Were looking for a Customer Success Manager with a strong background in data analysis or online marketing to join our growing team.
This role is ideal for someone who thrives on understanding customer goals, working with performance data, and building long-term client value.
As a CSM, youll work closely with mid-market and enterprise clients to drive value from our platform.
Youll use your analytical skills and marketing knowledge to provide data-driven insights, guide optimization strategies, and support customer growth. If you have hands-on experience in Customer Success along with a background in data analysis or online marketing, this position is designed to maximize your skills across both domains allowing you to drive growth and deepen customer relationships through strategic insights and client management.
Your key responsibilities will include:
Customer Strategy & Engagement: Build deep relationships and act as a strategic partner to clients, understanding their marketing goals and aligning solutions to meet them.
Insight-Driven Onboarding: Guide new clients through onboarding using both product and marketing performance data to ensure fast time-to-value.
Data-Backed Support: Monitor platform usage, performance KPIs, and creative outcomes to identify optimization opportunities and provide proactive recommendations.
Client Education: Empower users to leverage the full potential of our platform through hands-on guidance, insights, and training.
Retention & Growth: Manage renewals and identify expansion opportunities. Work alongside sales and product teams to unlock client growth.
Feedback & Product Loop: Act as the voice of the customer collect feedback and share trends with product, R&D, and marketing teams.

As a Windows engineer, you will be dealing with:
Developing user-mode applications and complex Windows Drivers.
Designing and developing components for the company's flagship security product.
Low-Level R&D.
End to End product development.

We are looking for a bright, resourceful, and enthusiastic Bachelors degree graduate to join our Customer Success team as a b Performance Analyst. This position is especially suitable for graduates in Communications, Business Management, Economics, Marketing, or similar fields.
This is an amazing opportunity to dive deep into the world of AI, online marketing, PPC, creative analysis, and reporting.
This position requires a creative and outside-of-the-box mindset, with the ability to watch creatives and understand the thought and strategy behind them, in order to translate them into value.
Key Responsibilities:
Ownership of all creative and analysis-related projects, including: Creative mapping, integration QA, reporting & analysis, and client presentations.
Existing client adjustments based on additional requests (internal and external) for more client value.
Feature standardization and taxonomy for all current and future Alison clients.
Studying new clients and meeting them for introductory sessions to understand their needs.
Collect and analyze data from marketing campaigns to measure their effectiveness and provide actionable insights for future strategies.
Additional ad-hoc assignments related to features, client requests, additional CSM projects, and technical projects.