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לפני 17 שעות
חברה חסויה
Location: Tel Aviv-Yafo
We are looking for a talented, passionate, and experienced Senior GenAI Engineer to join our team. You will design and build production-grade GenAI applications from the ground up, using technologies such as Google ADK, Docker, and AWS (Bedrock, AgentCore etc). Were looking for someone with a genuine passion for GenAI, strong software engineering skills, hands-on experience developing GenAI solutions, and a collaborative, hands-on approach. You will also work closely with the teams researchers, helping transform research code and prototypes into reliable, secure, and scalable containerized applications that can be deployed and operated in the cloud.
Main Responsibilities:
Design and development of production-grade GenAI applications and agentic systems
Build and operate reliable, secure, and scalable AI-powered services, with a focus on performance, observability, and cost
Drive engineering best practices, including testing, evaluation, CI/CD, code review, and technical design, while contributing to product and technical innovation
Work closely with the teams researchers to transform research code and prototypes into reliable, containerized applications that can be deployed and operated in the cloud
Requirements:
5+ years of software engineering experience building production systems
3+ years of professional Python development experience
Hands-on experience designing and developing production GenAI applications
Strong understanding of LLMs, agentic systems, RAG, tool calling, prompt engineering, and evaluation
Experience using GenAI observability tools for tracing, monitoring, evaluating, optimizing and debugging AI applications
Strong experience with Docker and cloud environments (preferably AWS).
Strong coding standards and experience with testing, CI/CD, observability, and production troubleshooting
Strong communication skills and the ability to clearly articulate technical ideas and trade-offs
High proficiency in English, both written and spoken
A collaborative, responsible team player with a genuine passion for GenAI and continuous learning
This position is open to all candidates.
 
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08/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Engineer to build and scale the data foundation behind platform and products. You will own complex data end-to-end - from ingestion and transformation through modeling, quality, observability, and production delivery.
This is a hands-on senior IC role for a strong builder who can solve difficult data problems independently, set a high technical bar, and collaborate closely with engineering, DS, and product. You will turn large, fragmented datasets into reliable, reusable capabilities that power every product.
Responsibilities
Build and own scalable data pipelines- Design, implement, and operate robust pipelines for high-volume structured and unstructured data, with validation, monitoring, lineage, and recovery built in.
Scale the platform for growth- A key near-term initiative is re-architecting the system to support a significantly larger customer base. You will own performance and cost-efficiency across pipelines and services, keeping reliability and operating costs under control as the platform scales.
Build across the stack- This is not a pipelines-only role. You will also write backend services and some frontend, including the internal backoffice the team runs on. We hire builders, not narrow specialists.
Own the core data tables- Own schema design and evolution, data contracts, and the modeling standards the team follows - naming, shared dimensions, normalization, documentation. Be accountable when a table is wrong, late, or drifting.
Level up the teams data work- Pair with and advise software engineers and data scientists on Spark, SQL, and modeling, and help turn notebook-grade code into production-grade pipelines.
Partner cross-functionally- Translate product, client, compliance, and business requirements into clear technical designs and dependable production systems.
Requirements:
Spark at scale- You have tuned real Spark jobs for performance and cost - skew, shuffle, partitioning, memory, spill - run pipelines over TB-scale or billions of rows in production, and can reason about the physical execution plan, not just write DataFrame code.
5+ years of professional experience building and owning production systems.
Strong Python and SQL, with maintainable, tested production code.
Strong software engineering fundamentals across the stack. You can own backend services and pick up frontend when the work needs it - not a pipelines-only specialist.
AI-first way of working- You build with AI in your day-to-day development, using it to move faster and raise the quality of what you ship.
Deep experience designing and operating ETL/ELT pipelines, data models, and distributed data-processing systems.
Comfortable advising and pairing with other engineers and data scientists on data work.
Strong AWS experience: S3, Glue, EMR, Athena, and related compute and orchestration services.
Experience with modern data lakehouse or warehouse architectures. Apache Iceberg is a strong advantage.
Experience with workflow orchestration (Airflow or similar), CI/CD, Docker, Git, and infrastructure as code such as AWS CDK and CloudFormation.
Strong understanding of data quality, schema evolution, lineage, observability, privacy, security, and access controls. Experience with regulated or sensitive data, such as healthcare / PHI, is an advantage.
High comfort in a fast-moving environment with incomplete requirements, high ownership, and a strong sense of urgency.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.
Requirements:
BSc in Computer Science or equivalent experience.
7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
Ability to make sound architectural decisions independently and understand technical trade-offs.
Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
Strong ownership mentality and ability to drive work independently from idea to production.
Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.
This position is open to all candidates.
 
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31/08/2026
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption.

As a GenAI & Competitive Intelligence Engineer , you will
Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing
Make knowledge impossible to miss inside . Build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
Drive projects from concept to execution to delivery
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Engage with requirement gathering and product discussions with internal customers
Be the focal point for collaborating with IS, IT and data science teams
Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them
Requirements:
A proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement
Bachelor's degree or higher in Computer Science, Data Science, Software Engineering, or similar
4+ years of relevant hands-on experience in developing and scaling production-grade GenAI architectures using modern LLM stacks
Proficiency with relevant tools, processes, and frameworks, such as: LangChain, CrewAI, OpenClaw, PyTorch, Keras, NLP, Vector databases, RAG, building MCPs and Skills
Coding fluency in Python and at least one other language (TypeScript/JavaScript, Go or Rust)
Deep understanding of cloud and cloud-native principles, including hands-on experience with major Cloud environments (AWS, GCP, Azure) and containers/Kubernetes
Proven ability to conduct deep technical investigations - analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights
Passion and curiosity to stay current of industry trends and technological advancements
Great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (IS, IT, data science) to ensure effective enterprise-wide systems integration
Excellent English communication (written and verbal)
Comfortable in a dynamic, fast-paced company
This position is open to all candidates.
 
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24/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.
Requirements:
8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage
Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage
Product-oriented mindset: you care deeply about building things that work well for users.
Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.
This position is open to all candidates.
 
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2 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.
Requirements:
4+ years of experience as a software developer in a cloud-oriented environment
B.Sc/M.Sc in Computer Science
Understanding of LLM/GenAI security concepts (prompt injection, jailbreaks, content moderation, PII/data leakage)
Strong programming skills in Go or/and C++, Python, Node.js, or a similar programming languages
Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
Experience working with cloud platforms, preferably AWS
Experience working with databases, preferably NoSQL databases such as MongoDB
Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Nice to have
Experience with caching technologies such as Redis
Experience with messaging and streaming technologies such as Kafka
Experience with frontend development using React, TypeScript, HTML, and CSS
Experience with observability and search platforms such as the Elastic/OpenSearch Stack and Grafana
Familiarity with GraphQL API design and development
Experience with vector data bases.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.
Requirements:
6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
Strong proficiency in Python
Deep expertise in designing scalable, resilient, fault-tolerant and secure backend systems
Strong experience with distributed systems, microservice patterns, asynchronous processing and event-driven architecture
Proven ability to design and operate high-throughput APIs in production
Experience leading technical design reviews and making sound architectural tradeoffs
Excellent problem-solving skills and ownership mindset
Strong collaboration and communication abilities
Bonus if you have:
M.Sc. in Computer Science, Software Engineering, or similar field
Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
Experience building and scaling LLM-powered applications
Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
Exposure to NoSQL and real-time data processing pipelines
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability.
This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment.
Responsibilities:
Architecture & technical leadership
Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security).
Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps.
Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines.
Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders.
Push forward the agentic mindset and implementation.
Working with squads (R&D)
Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture.
Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early.
Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues.
Partnering with Product
Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives.
Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs.
Standards, reuse, and platform mindset
Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt.
Champion platform thinking: design services and components that can be safely reused across teams and products.
Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads.
Quality, reliability, and continuous improvement
Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response.
Identify areas of high technical debt or architectural risk and lead structured remediation initiatives.
Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions.
Mentoring and leadership
Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills.
Foster a culture of thoughtful design, documentation, and constructive technical debate.
Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them.
דרישות:
8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems.
Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs).
Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices.
Proven ability to design for scale, performance, security, and reliability in production SaaS environments.
Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar המשרה מיועדת לנשים ולגברים כאחד.
 
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01/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Staff Engineer to lead the design and development of central components within R&D.
Youll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable.
Youll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups.
This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers.
Responsibilities:
Lead the design and implementation of scalable and reliable backend services.
Drive architectural discussions and make key technical decisions within your domain.
Collaborate with cross-functional teams to translate business and product goals into technical solutions.
Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability.
Mentor and support engineers through design reviews, code reviews, and knowledge sharing.
Continuously improve development processes, observability, and deployment pipelines.
Contribute to the evolution of the platforms architecture as the company and product scale.
Requirements:
10+ years of hands-on experience designing and developing complex, production-grade systems.
Proven track record in architecting and leading large-scale software projects.
Deep understanding of system design, distributed systems, and software architecture patterns.
Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#).
Experience with cloud environments (AWS or equivalent), containerized deployments, and infrastructure as code (e.g., Docker, Kubernetes, Terraform).
Experience designing and scaling event-driven architectures and data-intensive systems.
Excellent communication and influencing skills - able to align multiple teams toward a shared technical vision.
A proactive mindset, strong sense of ownership, and passion for solving complex engineering problems.
This position is open to all candidates.
 
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30/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
If youre ready for the next big step in your software development career - read on.
In this role, youll focus on building robust, scalable, and efficient backend
solutions that enable developers to create production-grade AI Agents. You will design and optimize the platforms architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI Agents for any use-case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity.
Responsibilities:
Design, develop, and maintain the core backend architecture of our AI-driven platform.
Take ownership of end-to-end development processes, from design to deployment. Yes, this means brand new pillars in the platform.
Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows.
Research and integrate advanced technologies to improve system scalability and reliability.
Ensure code quality through testing, code reviews, and best practices.
Requirements:
Minimum of 5 years in software engineering.
At least 2 years specifically in Python.
Proven knowledge in building and maintaining web applications and/or APIs.
Experience in designing and developing APIs.
Experience in architecting software systems from the ground up.
Nice-to-have: Hands-on experience with AWS for architecting and deploying applications.
Nice-to-have: Experience in CI/CD, containerization, and orchestration.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8801672
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06/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Backend AI Developer to architect and build the intelligent backbone of our platform: the multi-agent investigation pipeline, the data layer that consolidates signals from cloud providers and security tools, and the orchestration layer that ties it all together. You will work at the intersection of backend engineering and applied AI, designing systems that are durable, scalable, and smart enough to reason about complex cloud security environments.
What You'll Do:
Design and build the backend services that power Copperhelm's AI-driven investigation and remediation engine.
Architect and evolve a multi-agent system where specialized AI agents collaborate to investigate, prioritize, and resolve cloud security findings autonomously.
Build and optimize agent workflows using the Claude Agent SDK and Temporal.io for durable, orchestrated execution of long-running investigations.
Design and maintain the LLM inference pipeline, including prompt engineering, output validation, and integration with Amazon Bedrock.
Collaborate with product and engineering to translate threat models and investigation playbooks into automated agent workflows.
Make critical architectural decisions on agent boundaries, coordination patterns, data models, and scaling strategies.
Requirements:
7+ years of professional experience building production backend systems in TypeScript or Python (we use TypeScript / NestJS).
Hands-on experience designing and integrating AI/LLM-powered features, including prompt engineering, agent frameworks, or RAG patterns.
Strong understanding of multi-agent system design: agent decomposition, inter-agent communication, tool use, and orchestration patterns.
Strong proficiency in relational database design (PostgreSQL).
Experience with cloud infrastructure (AWS, Azure, or GCP) in production environments.
Experience with workflow orchestration or distributed systems (Temporal.io, Step Functions, or similar durable execution framewrks).
Proven ability to take full ownership of complex backend systems, from design through production operations.
A team-player mindset: you communicate clearly, give and receive feedback well, and thrive in a collaborative, fast-paced environment.
Nice to Have:
Experience with cybersecurity, vulnerability management, or cloud security posture management.
Familiarity with the Anthropic Claude API, Claude Agent SDK, or Amazon Bedrock.
Background in building multi-agent systems or autonomous AI pipelines in production.
Experience with Terraform, Kubernetes, or infrastructure-as-code in production environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8811555
סגור
שירות זה פתוח ללקוחות VIP בלבד