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We are looking for a Security Engineer to join us. In this role, you will take part in securing our companys production environments across network, data, and AI domains. You will work closely with SRE, DevOps, platform, and internal security teams to design, operate, and continuously improve security controls, reduce risk, and strengthen our detection and response capabilities in a fast-growing, cloud-native environment.
Responsibilities
Support, maintain, and operate network, data, and AI security controls across our companys production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing across the Cyber Defense Group.

We are looking for a Senior Software Engineer to join our AI Engineering team. Youll be part of a highly proficient engineering group that serves as the focal point for all AI engineering efforts, constantly driving innovation and leveraging AI capabilities across teams and products.

AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that engineering is about building the most effective and elegant solution within a given set of constraints, consider applying for this position.

What you'll be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Job responsibilities
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join our companys mission and build best-in-class data systems that move the world forward - this role is for you.
The Responsibilities
Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC.
Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost.
Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases.
Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization.
Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment.
Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls.
Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable.
Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in our company, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.

Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.

If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.

What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes Forters vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard Forters value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.

We are seeking a Software Engineering Architect to join the company Tableau engineering team. You will be instrumental in designing and architecting complex, data-driven software systems at scale, with a heavy focus on delivering a best-of-breed Semantic Layer for AI-based data analytics capabilities. As a key technical leader, you will shape the architecture, guide engineering teams in standard methodologies, and ensure the scalability, reliability, performance, and security of our products. You will work on high-impact projects and collaborate closely with Principal Architects.
Your Impact:
Architectural Design & Strategy: Define secure, scalable, and resilient architecture for large-scale, distributed, high-performance systems across multiple cloud environments. Ensure technical solutions align with customer needs, platform, other teas and business requirements.
Semantic Layer & AI Focus: Design, evolve, and govern the next generation of our semantic layer and data modeling framework. Drive the leverage of AI (LLMs and more) and analytic agentic capabilities by providing a unified, rich, and performant data interface.
Execution & Ownership: Be hands-on: write code and POCs, engage in pull requests, and remain close to the code. Simultaneously handle multiple complex, high-priority projects, ensuring architectural decisions support short- and long-term business objectives.
Technical Leadership & Optimization: Provide leadership and mentorship to engineering teams. Lead efforts to optimize system performance and scalability, and ensure high availability and resilience.
Collaboration & Documentation: Work closely with multi-functional teams (PMs, AI experts, engineers, and stakeholders) to define and implement architectural strategies. Create comprehensive documentation for architectural designs and decisions.

we are looking for a Offensive Security Team Lead.
As an Offensive Security Team Lead, you will spearhead offensive security operations and lead advanced threat research initiatives, playing a pivotal role in safeguarding our organization and customers from evolving cyber threats. You will develop and execute Red Team exercises, simulate real-world attacks, and identify security weaknesses in systems and applications. We seek a highly skilled, proactive tech leader who thrives in challenging environments and is passionate about advancing security research and offensive strategies.
As an Offensive Security Team Lead , you will
Lead, plan, design, and execute Red Team operations, threat modeling, and adversarial simulations against infrastructure and cloud environments
Drive threat research and intelligence initiatives to stay ahead of emerging cyber threats, attack techniques, and vulnerabilities
Develop and execute advanced attack scenarios to assess security defenses and provide actionable recommendations for improving security posture
Collaborate closely with security engineering, DevOps, and software development teams to implement findings and enhance our defenses
Lead the development of tooling, frameworks, and methodologies to automate and optimize Red Team exercises
Mentor and guide a team of security professionals, fostering a culture of innovation, collaboration, and continuous learning
Participate in incident responses when Red Team exercises reveal vulnerabilities, providing expertise on attack techniques, forensics, and post-attack mitigation
Continuously assess and improve security processes, playbooks, and threat detection mechanisms

We are seeking a Product Technical Architect to join the elite CTO Experts team, an exclusive and global group. Our mission is to spread the power by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers.
WHAT YOULL DO
Own a critical technology domain.
Serve as the top technical authority for product architecture, complex escalations, and field challenges.
Identify & Close Critical Product Gaps: Proactively identify customer needs and product limitations, develop tools and Proofs-of-Concept (PoCs) to address them.
Hands-on Problem Solving: On any given day, you may model customer environments, write scripts, conduct tests, build dashboards, and implement product improvements.
Customer Engagement: Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Develop Novel Tools: Continuously innovate by building new automations, analytical engines, and AI-driven PoCs (e.g., for test generation).
Internal Enablement: Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.

Required Data Infrastructure Engineer
Binyamina & Tel Aviv
About the Role:
We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life.
As part of our Data Engineering team, you will not only build scalable data platforms but also directly enable portfolio growth by supporting new funding capabilities, loan sales and securitization, and improving cost efficiency through automated and trusted data flows that evolve our accounting processes.
Responsibilities:
Design and build data solutions that support our core business goals, from enabling capital market transactions (loan sales and securitization) to providing
reliable insights for reducing the cost of capital.
Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.
Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.
Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.
Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.
Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.
Manage our bug bounty program, validating reports and coordinating response and resolution.
Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.
Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.
Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.
Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.
Promote a strong security culture across the company by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

we are looking for an experienced and proactive Senior IT Systems Engineer to join our growing IT team.
This role will be pivotal in managing our modern, cloud-first infrastructure with a focus on Azure, AWS, Office 365, Intune, and enterprise security platforms. The ideal candidate is a senior-level engineer who thrives on automation, scalability, and supporting a dynamic, hybrid workforce.
Key Responsibilities:
Design, manage, and secure systems across Azure, AWS, Office 365, and Docker-based environments.
Oversee device management policies and compliance via Microsoft Intune across Windows, macOS, and mobile platforms.
Lead onboarding and offboarding workflows, integrating automation and security best practices.
Develop self-service solutions and automated workflows for IT operations using tools like PowerShell, Python, Azure CLI, AWS CLI, and code/no-code platforms (e.g., Workato, Torq).
Administer Entra ID (Azure AD), including conditional access, MFA, and role-based access control (RBAC).
Enforce endpoint and cloud security using CrowdStrike, firewalls, and Cato Networks, and conduct routine audits.
Troubleshoot and manage complex network environments, VPNs, and cloud-based firewalls.
Provide advanced technical support and guidance to internal IT and service desk teams.
Maintain comprehensive documentation and mentor junior staff.

we are looking for an experienced Senior data Scientist specializing in NLP and Large Language Models (LLMs) to join our AI & data practice. In this role, you will lead the design and development of advanced NLP and Generative AI solutions, including on-premise Hebrew LLM systems, for enterprise clients across multiple industries. You will work closely with data engineers, software architects, and AI specialists to build production-grade AI systems that power decision-support tools, intelligent interfaces, and next-generation applications
Generative AI & NLP Solutions
* Lead the development of Hebrew LLM-based solutions, including on-premise deployments for enterprise environments.
* Design and implement NLP pipelines for:
* Text classification
* Sentiment analysis
* Named Entity Recognition (NER)
* Develop Generative AI applications supporting decision-support systems and intelligent user interfaces
* Build and optimize semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures
* Implement multi-agent and long-chain LLM workflows for complex reasoning tasks. Architecture & Technical Leadership
* Provide technical leadership and architectural guidance for AI/ML solutions.
* Collaborate with data engineers, MLOps, and software teams to deploy scalable NLP models into production environments.
* Design efficient text representations and feature engineering pipelines
* Ensure solutions meet enterprise-level performance, security, and scalability requirements Innovation & Client Impact
* Analyze large-scale datasets and deliver data -driven insights that improve business processes.
* Stay updated with the latest advancements in NLP, LLMs, and Generative AI ecosystems
* Contribute to innovation initiatives and knowledge sharing within our AI community.
* Work closely with enterprise clients, translating business needs into AI-driven solutions.

The Account Manager is a relationship-driven, commercially-minded professional responsible for maximizing customer lifetime value through proactive renewal management and account expansion.
Youll lead a structured account management process across all segments, fostering long-term partnerships, ensuring on-time renewals, and uncovering upsell and cross-sell opportunities.
This role requires a strategic thinker with a passion for customer outcomes, strong process rigor, and the ability to collaborate cross-functionally to drive retention, growth, and advocacy
Responsibilities:
Design, execute, and continuously improve a scalable account management framework that drives proactive engagement, renewals, and expansion across all customer segments
Develop and execute strategic touchpoints to build trusted customer relationships, drive on-time renewals, mitigate churn risk, and position value-add solutions
Partner with Account Executives, Customer Success, and Solutions Engineering to align on business outcomes, identify growth paths, and ensure seamless contract execution
Accurately build and manage renewal quotes in HubSpot and support channel fulfillment where needed
Forecast renewals with rigor and accuracy, escalating at-risk accounts early and proposing mitigation plans
Track and optimize KPIs like retention rate, renewal velocity, and time-to-close
Ensure all renewal-related data and activities are captured in HubSpot and internal systems for reporting and handoff
Surface insights and advocate for improvements to process, packaging, and pricing based on customer feedback
Contribute to a customer-first renewal strategy that balances commercial discipline with a world-class experience

The company Engineering team is looking for a Principal Software Engineer to join us in the Ra'anana office, focusing on the sovereign cloud project. In this role, you will design and build a high-scale, multi-tenant cloud platform that abstracts complex isolation, quota management, and jurisdictional compliance into a seamless experience-powering sovereign OpenShift-as-a-Service, VM-as-a-Service and Model-as-a-Service (AI) offerings. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, our company OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our company's Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we work to bring AI and data-driven solutions to a quickly evolving industry.
Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line.
We are looking for an AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security.
This is a mid-level role reporting to the AppSec Architect and can be based out of our Tel-Aviv or Jerusalem offices.
What you will be responsible for
Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
Document: Draft requirement documents for security products and innovative technologies.