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Requirements:
As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and TEST commercial GenAI systems. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Responsibilities:
Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
Apply innovative testing methodologies to ensure state-of-the-art security practices.
Document all red team activities, findings, and recommendations with precision and clarity. Requirements:
Proven track record in AI vulnerability analysis.
Strong understanding of AI technologies and underlying architectures, especially generative models and frameworks.
At least 5 years of experience in offensive cybersecurity, with a focus on cloud and API security.
Familiarity with agentic frameworks and hands-on experience in agentic development.
Proficiency in Python.
Exceptional analytical, problem-solving, and communication skills.
Ability to thrive in a fast-paced, dynamic environment.
Bachelors or Masters degree in Computer Science, Information Security, or a related field.
Demonstrated experience building production-quality pipelines and automations.
Hands-on experience with Machine Learning development frameworks and environments.
Advanced certifications in offensive cybersecurity (e.g., OSWE, OSCE3, SEC542, SEC522).
Certifications or background in DevOps /ML domains. 

Requirements:
B.Sc. in Computer Science or equivalent
2-5 years of experience with Java
2-5 years of experience in web automation using Selenium WebDriver or Playwright
Experience in API testing
Familiarity with QA testing methodologies
Familiar with Agile methodologies and CI/CD
Dedication to take ownership on projects and end-to-end responsibility
Flexibility and versatility, autonomous and fast learning, creative thinking, passion to build new systems and improve existing ones
Advantages:
Knowledge of GIT, TestNG, or other automation infrastructure tools
Knowledge of Docker and K8S
Knowledge of JavaScript, and React
Familiarity with SQL
Knowledge of JavaScript, HTML, and React
Experience with Jira for task management and working in Agile environments.

Requirements:
5+ years of experience as a Software Developer
Proficiency in Python and modern software engineering best practices
Experience with Linux, Git, and Docker.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes)
Proficiency with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
Experience with ML frameworks and GenAI (NumPy, Pandas, Scikit-learn, PyTorch, Hugging Face, LangChain, RAG)
Background in cybersecurity - big advantage
BSc in Computer Science or related field - advantage.

Requirements:
5+ years of experience in B2B SaaS technical support at a Tier 3 level (or a similar role) for international customers must
Strong expertise in network protocols, VPNs, and troubleshooting must
Experience with software debugging, log analysis, and scripting (Python/Bash) must
Excellent communication skills and ability to work in a fast-paced, team-oriented environment must
Experience with Linux, SaaS environments, cloud environments, and networking technologies strong advantage
Familiarity with IPsec protocols, VPN tunnels, Wireshark, and BGP advantage
Highly customer-oriented, with a focus on customer satisfaction beyond just technical resolution
Self-motivated and capable of quickly learning new technologies
Ability to multi-task and work independently under pressure.

Requirements:
Over 5 years of hands-on experience in the operations of enterprise SaaS network and server infrastructures
3 years of hands on experience with 24x7x365 production sytems.
Strong understanding of modern Linux OS functional components and subsystems
Extensive background in large-scale network/system engineering environments, including ISPs and Cloud Providers.
Hands-on experience with Linux virtualization and containerization technologies, such as KVM, QEMU, Proxmox, and Docker/ECS/K8s
Extensive familiarity with Automation, Configuration Management, and Infrastructure as Code (IaC) tools such as Ansible, Terraform, etc. as well as experience running them from within CI/CD tools such as GitHub Actions, Jenkins, etc.
Proficiency in scripting with Bash, Python, or similar languages.
Experience with observability and monitoring systems like, DataDog, Prometheus, Grafana, etc.
Proficient in high availability concepts and implementation, including redundancy, failover, and load balancing technologies.

Requirements:
Proven hands-on networking and/or network security engineering experience
Deep understanding of networking protocols (e.g., IPSEC, VPN, VRRP, BGP, OSPF, HTTP, TLS, TCP/IP)
3 years experience with planning, configuring, building networks from scratch involving elements such as: Firewalls/Routers/VPN Concentrators of top-5 vendors such as: (Palo Alto/our company/Cisco/Juniper/Fortinet)
3 years' experience with conducting different software QA testing types (functional and non-functional) and QA methodologies
Excellent problem-solving and communication skills
Consistently demonstrates a high level of integrity and professionalism
High attention to detail
Networking and Security certificates such as CCNA, JNCIA and CCSE - Advantage
Experience in testing WEB applications - Advantage
Knowledge in Amazon AWS or Azure - Advantage.

Requirements:
10+ years in professional software development, with at least 5 years in a principal architect, solution architect, or senior technical leadership role in a SaaS product.
Proven experience designing and delivering complex, scalable, cloud-based SaaS systems (preferably in healthcare or other regulated industries).
Deep expertise with AWS cloud architecture, including serverless, containerization, microservices, data engineering and pipelining, and storage.
Proficiency in modern programming languages (e.g., Python, TypeScript, Node.js)
Hands-on experience with AI/ML tooling, including LLM integration, developer productivity platforms, MCP/agent-based architectures, and AI-enhanced workflows.
Strong leadership, mentoring, and decision-making skills.
Excellent written and verbal communication skills in Hebrew and English, with the ability to influence stakeholders at all levels.
Preferred Qualifications:
Experience in healthcare technology with an understanding of HIPAA, HL7/FHIR, and interoperability standards.
Familiarity with data engineering and analytics platforms for real-time and batch processing.
Exposure to security and compliance frameworks relevant to SaaS in regulated industries.

Requirements:
Team player at heart.
Hands-on Backend Experience in developing a large-scale system.
5+ years of experience as a Software Engineer.
3+ years of experience with High level server-side frameworks, Preferably Python.
Experience with AWS or other cloud services

Requirements:
3+ years of programming experience in Java or an equivalent Object-Oriented language (preferably Java + Spring).
BSc in Computer Science or equivalent.
Experienced in designing and developing large-scale distributed systems.
Deep understanding and strong Computer Science fundamentals: object-oriented design, data structures, applications programming, and multithreading programming.
Bonus points if you have:
Experience in developing high-scale distributed systems is a plus.

Requirements:
Team player at heart.
Hands-on full-stack Experience in developing a large-scale system
5+ years of experience as a Software Engineer
3+ years of experience with client-side frameworks (preferably React)
3+ years of experience with server-side frameworks - Python/ Node.js
Experience with AWS or other cloud services
Advantages:
Experience developing with React Native
B.Sc / M.Sc in Computer Science / Software Engineering
Familiarity with Git, CI/CD framework and testing
Experience with python frameworks
Experience with serverless architecture
Knowledge of UI/UX principles and experience with design systems
Experience with RDS / Snowflake

Requirements:
4+ years of hands-on experience in software engineering (Backend preferably in Python).
2+ years of experience in machine learning pipelines on cloud environments.
Knowledge in statistics and machine learning techniques.
Proven ability to lead product feature development, from concept to production.
Experience with large scale, high performance, production environments.
Experience working with SQL and NoSQL databases.
Experience in AWS cloud environment.
Advantages:
Bs.c / Ms.c in Computer Science / Software Engineering.
Experience with ML Frameworks such as PyTorch, TensorFlow and MLFlow.
Experience with Deep Learning, NLP and LLM pipelines (RAG and agentic systems).

Requirements:
5+ years of experience in a position of Software development, field engineering or technical project management or 3rd level support (or experience as professional service/post sale engineer in AD-tech b2b operation).
Relevant academic degree, B.Sc.(Information Systems/ Industrial Engineering).
Experience in management of integration projects including internal and external resources while collaborating with R&D and Product Management
Excellent technical and execution skills Experience with integrations of Client-Server, Server-Server environments, including knowledge in SQL. Strong familiarity with client coding JavaScript, network protocols and monitoring traffic.
Experience and willingness to work with remote partners in different time zones on a daily basis, and occasionally at unconventional hours.
Excellent written and verbal communication and presentation skills including demonstrated experience communicating technical information.
Fluent English both conversational and written Must.
Bonus points if you have:
Experience in the AdTech world.

Requirements:
Design, build, and ship end-to-end features
Exprience with testing and debugging
Write clean, performant, and maintainable code with a focus on reliability and scalability.
4+ years of experience with cloud application development using Node.js and React
Javascript/Typescript experience
Excellent written and verbal technical communication skills (English)
Preferred Qualifications
Experience with CI/CD & DevOps
Experience with AWS
Experience with Git or equivalent distributed revision control systems

Requirements:
What Experience Will Drive to Success
* Bachelors degree in data Science, Computer Science, Computer Engineering, or related field.
* 3+ years of hands-on software development experience.
* 1+ years of experience in AI engineering, with a proven track record of building and deploying AI systems.
* Strong proficiency in Python.
* Experience with AI frameworks and protocols such as LangChain, LangGraph, OpenAI, MCP, A2A, etc..
*  Solid understanding of LLM integration and prompt engineering for complex reasoning.
* Experience with Git and Jenkins.
* Strong problem-solving skills, a passion for innovation, and a self-driven mindset.
* Excellent communication and collaboration skills.
*  Hands-on experience with Big Data processing frameworks (Advantage).
*  data science experience or familiarity with applied Machine Learning (Advantage). What We Are Looking For Independent and Self-Driven: Were building an AI Department from the ground up, so we need someone proactive, takes ownership, and thrives in a startup-like environment. Passion for Innovation: Whether its building scalable data infrastructure or creating advanced AI models, we are looking for someone passionate about solving complex challenges and delivering innovative solutions. Collaboration Skills: we are all about teamwork. You will collaborate with engineers, data scientists, and product teams to build impactful solutions. Strong communication and interpersonal skills are key. Adaptability and Problem-Solving: Things move quickly at our company. You should be able to adapt to changing requirements and quickly solve problems in a fast-paced, dynamic environment. Can-Do Attitude: Were seeking motivated individuals who take the initiative, face challenges head-on, and can work independently while contributing to the team's success. About the Company: our mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.