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2 ימים
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: More than one
Job Type: Full Time and Hybrid work
Build the future of AI-driven cybersecurity agents with a stealth-mode, well-funded ex- 8200 startup.

About Us
Were a VC-backed AI startup founded by ex- 8200 veterans, operating in stealth mode. Our mission: transform cybersecurity operations through intelligent, agentic AI that empowers security teams to act faster, smarter, and autonomously.

About the Role
As a Senior AI Engineer AI Cybersecurity, youll help shape our product and tech foundation. Youll design and optimize Python -based AI components, tackle complex AI-driven defense challenges, and collaborate with top engineers, researchers, and security experts. Youll influence architecture, workflows, and product direction from the ground up.
Requirements:
Requirements:

Strong expertise in Python.
Hands-on experience with AI frameworks or LLM-based solutions.
Passion for exploring new ideas, solutions, and technologies.
Team-oriented mindset with strong communication skills.


Advantages:

Cybersecurity knowledge or background in security-related projects.
Previous startup experience, comfortable with fast-paced and dynamic environments.


Ready to Join Us?

If youre a strong Python Developer with a passion for AI and innovation, wed love to meet you.
This position is open to all candidates.
 
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2 ימים
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model
Requirements:
5+ years of hands-on experience in AI/ML engineering, or data science with strong engineering ownership.
Strong Python and solid software fundamentals with clean, well-tested, production-quality code.
Hands-on experience with GenAI/LLMs: prompt design, embeddings, fine-tuning and RAG patterns; experience building agents is a strong advantage.
Experience with core ML; NLP/CV/multimodal experience is a plus.
Familiarity with modern AI toolkits (e.g., LangChain, Hugging Face, PyTorch).
Cloud experience (AWS/GCP/Azure) and working with scalable data pipelines.
Strong communication and collaboration skills.
BS/MS/PhD degree in CS/Data Science/Engineering (MS/PhD a plus)
This position is open to all candidates.
 
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לפני 1 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

Responsibilities
Design, develop, and maintain scalable, high‑performance backend services in Python.
Build and optimize large‑scale data processing pipelines running on Databricks.
Implement efficient algorithms and data transformations to support analytical and operational needs.
Optimize performance, throughput, and reliability of distributed data workflows.
Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate requirements into scalable solutions.
Implement monitoring, alerting, and observability for data workloads.
Ensure code quality through best practices such as code reviews, testing, CI/CD, and documentation.
Contribute to architectural decisions and technical strategy for the data platform.
Troubleshoot production issues, perform root‑cause analysis, and optimize system stability.
Requirements:
Qualifications
5+ years of backend software engineering experience, with a strong focus on Python.
Hands-on experience with Apache Spark, Databricks, or similar distributed-processing frameworks.
Proven ability to design and optimize high-scale data pipelines handling large datasets.
Strong understanding of distributed systems, parallel processing, and performance tuning.
Familiarity with cloud environments (Azure, AWS, or GCP).
Experience with modern CI/CD processes, testing frameworks, and code-quality standards.
Strong understanding of data structures, algorithms, and system design.
Excellent problem-solving skills and ability to work independently.

Nice-to-Have Skills
Experience in data lakehouse architectures or cloud‑native data platforms.
Familiarity with container technologies (Docker, Kubernetes).
Background in cybersecurity, analytics platforms, or large-scale SaaS systems.
Hands-on experience with AI concepts, LLMs, and agents.

Personal Qualities
Ownership mindset and ability to drive initiatives end-to-end.
Strong communication skills, both written and verbal.
Ability to collaborate across teams in a fast-paced environment.
Curiosity, adaptability, and passion for high-quality engineering.
This position is open to all candidates.
 
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24/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.
Requirements:
5+ years of hands-on experience in client-side development.
Strong experience with Angular-MUST
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.
Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.
Requirements:
What Makes You a Great Fit:
Minimum 6+ years of backend development experience - Must
Experience with Machine Learning - Must.
Strong expertise in Python for production systems - Must.
Proven experience in system architecture for distributed applications.
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Deep knowledge of Kafka (producers, consumers, partitioning, scaling).
Proficiency with MongoDB (schema design, indexing, aggregation).
Experience with OpenSearch/Elasticsearch (indexing, queries, performance tuning).
Solid understanding of containerization (Docker) and cloud deployment (Kubernetes or similar).
Nice-to-Have
Experience with Argo CD and GitOps workflows, and AirFlow.
Knowledge of ML lifecycle tools (MLflow, Kubeflow, TensorFlow Serving).
Observability stack: Prometheus, Grafana, OpenTelemetry.
Performance optimization and distributed systems troubleshooting.
Tech Stack
Backend: Node.js, Python, REST/GraphQL APIs
Data: MongoDB, Kafka, OpenSearch
Infra: Docker, Kubernetes, CI/CD pipelines
Bonus: Argo CD, Erlang/Elixir, ML deployment frameworks.
This position is open to all candidates.
 
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24/03/2026
Location: Herzliya
Job Type: Full Time
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.
Requirements:
Minimum of 5 years of experience managing and leading engineering teams.
Experience in working directly with customers
Recent experience from the past two years and willingness to a 50% or more Vibe Coding.
Strong leadership and interpersonal skills with a customer-focused mindset.
Experience working in Agile/Scrum development environments. Proven experience in server-side/enterprise application development. Ability to work effectively in a dynamic, fast-paced environment. Self-learner with a passion for staying up-to-date with new technologies
Advantage:
Extensive experience with Java 17/21 and the Spring framework. Proficiency with NoSQL databases such as MongoDB.
Solid understanding of clustering and microservices-based architectures. Familiarity with Docker and Kubernetes is an advantage.
Experience with monitoring and logging tools (e.g., Prometheus, Kibana, Grafana, Elasticsearch, Kiali) is a plus.
Proven ability to effectively communicate with offshore clients and stakeholders.
Excellent English communication skills, both written and spoken, with experience working directly with offshore clients
This position is open to all candidates.
 
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06/04/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.
Requirements:
M.Sc. in Computer Science or other relevant degrees.
Experience in data structures and algorithmic research and implementation roles in related fields
2-5 years of experience in using M/LLMs and agentic frameworks
Knowledge and experience in deep learning - NLP, computer vision, time series or standard ML
Fundamental knowledge of programming principles, substantial experience in Python and experience with MLOps practices (Git, Kubernetes, Docker, DVC - advantage)
Ability to work independently and within a team in a fast-moving environment.
Willingness to travel abroad (10%).
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
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31/03/2026
Location: Herzliya
Job Type: Full Time
We have multiple positions open for Software Engineers and Senior Software Engineers to be hired across different our company Security teams in Israel.
Israel is the biggest our company center of excellence in the security domain and plays a pivotal role in safeguarding our global digital ecosystem. As the largest our company center of excellence in the security domain, our teams in Israel are at the forefront of innovation and defense against emerging cyber threats. With over 60% of our site dedicated to security, we are committed to developing cutting-edge solutions that protect millions of users worldwide. Our contributions have a profound impact on the global security organization, driving advancements and setting new standards in cybersecurity.   
Click here to learn more about security groups located in Israel What We Do | our company Israel R&D.  
Our teams are dedicated to building cutting-edge Cyber Defense solutions, leveraging state-of-the-art cloud technologies, big data, AI, and modern UX platforms to deliver unparalleled value to our customers.   
As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats. We value diversity and believe that different experiences and perspectives make our team stronger.  
If you're passionate about cyber defense and eager to make a significant impact on global security, love working with data, and want to make the world a safer place, come join us! 
Responsibilities
As a Software Engineer you will:
contribute to business-critical initiatives in our company Security
Requiring deep technical skills and the ability to quickly adapt to new areas.
Will improve the end-to-end lifecycle of services
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
You will also collaborate with multiple teams across our company to deliver key customer solutions and support technology.
Join us to unlock your highest potential in a collaborative and agile culture! 
Requirements:
Our teams focuses on the diversity of all types of candidates, and we strive to hire people with different experiences and perspectives into our teams. To that end, we know that no candidate has every desired skill and experience, but together we make a strong, effective teams. 
You have a B.Sc. or M.Sc. in computer science, software engineering, or equivalent experience. 
You have 7+ years of professional hands-on software development experience, primarily focused on developing and designing backend services in cloud or on-premises environments. 
You have experience taking initiative, map product/feature requirements, dependencies, and deliverables. 
Preferred Qualifications 
Experience working with Kubernetes and Containers. 
Experience with databases (SQL, MongoDB, Cosmos DB, Redis, Azure Data Explorer). 
Experience in working on a product that has both a cloud service and also a client component
Experience in the cybersecurity domain. 
Experience in designing, building, and operating large-scale resilient distributed systems. 
Experience/familiarity with application and system monitoring systems. 
Demonstrate success dealing with ambiguous unsolved problems; and the ability to independently make solid progress by breaking new ground .
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8598755
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