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Requirements:
5+ years of experience as an automation developer or in a similar software quality engineering role.
Strong experience with web/UI automation tools such as Playwright, Selenium, or Puppeteer, with a deep understanding of DOM, HTML, and CSS.
Proficiency in an object-oriented programming language, preferably Python, Java, or TypeScript.
Proven experience in QA testing processes, including writing and executing Software Test Plans (STP) and a strong understanding of client-server architecture.
Preferred Qualifications
Experience with API testing methodologies and tools.
Hands-on experience with cloud environments such as AWS, GCP, or Azure.
Familiarity with or a strong interest in integrating AI/ML tools and concepts into testing workflows.
Excellent communication skills with the ability to present and explain technical information effectively in both Hebrew and English.

Requirements:
Your Experience:
8+ years of software engineering experience, including the development of scalable server-side application using GO or Python
Basic understanding and familiarity with the AI landscape, including various models, frameworks, and prompting techniques.
Demonstrated experience integrating Generative AI solutions into backend architectures.
Proficiency with a variety of database technologies.
Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).
Nice to Have
Experience with containerization and orchestration technologies such as Kubernetes and Docker.
Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.

Requirements:
Your Experience
5+ years of experience working with Unix/Linux systems, including shell, tools, networking, and kernel concepts.
2+ years of hands-on experience with microservices architectures running on Kubernetes and container platforms.
Proven experience operating workloads in public cloud environments (e.g., AWS, GCP, Azure) at scale.
Proficiency in building automation and tools in at least one scripting or programming language (e.g., Python, Go, Java).
Strong experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
Bachelors degree in Engineering, Computer Science, or a related technical field, or equivalent practical experience.
Nice to have:
Deep expertise in designing and operating monitoring, alerting, and observability systems (e.g., Prometheus, Grafana, ELK Stack).
Advanced networking expertise, including TCP/IP, DNS, BGP, routing, and cloud networking concepts relevant to SASE architectures.
Prior experience operating or supporting SASE, SD-WAN, Zero Trust, or network security platforms.
Familiarity with using AI/LLM technologies to improve operational workflows (e.g., incident analysis, automation).

Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
5+ years of experience in software development using C++ in an Object-Oriented codebase.
Proven experience leading development teams and managing large-scale software projects.
Demonstrated ability to contribute across the entire software development lifecycle, from design to deployment.
A positive and resilient mindset with the ability to motivate a team through challenging workloads.
Preferred Qualifications
Significant experience with Windows, macOS, or Linux operating system internals and APIs.
Experience in cybersecurity, particularly in threat research, malware analysis, or endpoint detection.
Proficiency in scripting or development with Python or Go.

Requirements:
Your Experience:
5+ years of demonstrated experience in a DevOps, Site Reliability Engineering (SRE), or cloud infrastructure role.
Strong proficiency with infrastructure-as-code (IaC) tools such as Terraform or Ansible.
Hands-on experience building and maintaining CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
In-depth knowledge of at least one major cloud provider (GCP, AWS, Azure).
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Docker and Kubernetes.
Proficiency in a scripting or programming language such as Python or Go.
Familiarity with monitoring and observability tools like Prometheus, Grafana, or the ELK stack.
Experience supporting machine learning or research-focused environments.

Requirements:
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
5+ years of professional hands-on experience in frontend development.
Senior-level proficiency in modern frontend frameworks such as Angular or React, and extensive experience with TypeScript.
Demonstrated experience building and maintaining large-scale, complex web applications.
Strong understanding of frontend performance optimization techniques, modular design principles, and scalable architecture.
Preferred Qualifications
Experience with data visualization libraries (e.g., D3.js, Highcharts) and creating interactive charts and dashboards.
Familiarity or experience with backend development (e.g., Node.js, Python, Go).
Experience working in an agile development environment.
Prior experience in the cybersecurity industry.

Requirements:
7+ years of experience in software development 3+ years of experience with system programming for any major OS (Windows/Linux/Android/Mac)
Proven experience with system programming for any major OS (Windows, Linux, Android, Mac).
Deep understanding of operating system internals and concepts.
Modern C++ development
Experience with one or more of the following skills/technologies - User-mode internals, Windows security model, PE format, hooking, injection, etc., x86 / x64 assembly, Security technologies (ASLR, DEP, etc.), Reverse engineering with IDA Pro, Python
Contributions to open source projects or a complex hobby project
Bachelor's degree or equivalent military experience required.

Requirements:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5+ years of experience as a software engineer.
Proven experience with multi-threaded development under the Windows operating system.
High proficiency in system-level C++ programming, including C++17 and later versions.
Demonstrated high standards for secure coding practices and strong attention to detail.
Preferred Qualifications
Experience in low-level kernel-mode development.
Knowledge of Windows networking (NDIS, WFP, Filter, Miniport, File System, Winsock).
Experience with networking protocols such as TCP/UDP, QUIC, MASQUE, ICE, and Proxy PAC.
Experience with undocumented APIs and reverse engineering.

Requirements:
At least 2 years of experience with one or more major cloud infrastructure providers (e.g., AWS, Azure, GCP).
At least 2 years of experience with security orchestration, automation, and response (SOAR) technology.
Strong technical knowledge of cloud platforms (AWS, Azure, GCP) and modern application architectures.
Demonstrated understanding of cloud-native security (CNAPP) and security operations (SOC, SIEM, EDR) use cases.
Excellent written and verbal communication skills with strong presentation abilities and professional presence.
Preferred Qualifications
Experience with Cloud Security Posture Management (CSPM) tools (e.g., Prisma Cloud) to detect and remediate cloud risks.
Understanding of Cloud Infrastructure Entitlement Management (CIEM) principles and hands-on experience managing cloud entitlements.
Experience in building SOC workflows, incident response plans, or SIEM integrations.
Experience in cloud-native programming, scripting, automation, infrastructure-as-code, or modern CI/CD pipelines.

Requirements:
Your Experience At least 4 years of experience as a QA automation Experience with cloud-native technologies like Docker, Kubernetes, etc - Must Experience with Linux- Advantage Experience in one of the following languages - Python /Java/ Go - Advantage Experience with UI/Web manual/automation testing - Advantage Ability to learn new technologies superfast A strong passion for product quality and continuous willingness to improve the product.

Requirements:
Bachelor's degree or equivalent military experience.
At least 5 years of experience in Linux system-level programming.
Extensive knowledge of Linux internals, or Linux 'under the hood'.
Very strong system-programming skills in C++.
Strong debugging skills with various tools on different Linux platforms.
Proven experience with multi-threaded application development.
Preferred Qualifications
Linux kernel programming experience.
Experience with containers, Docker, or Kubernetes.
Familiarity with multiple Linux distributions (e.g., RHEL, Ubuntu).
Experience with software security and/or Linux Security modules (e.g., SecureBoot, SELinux, AppArmor).

Requirements:
2-4 years of experience as a Business Applications/Web Developer, IT/System Engineer, Automation Engineer, or AI-focused Solution Engineer, or equivalent hands-on project experience.
Practical experience working with LLMs, AI agents, and RAG-based solutions, and connecting them to real-world business workflows.
Strong experience with APIs, webhooks, and system integrations.
Hands-on experience with JavaScript for building and extending applications or integrations (Python is a plus).
Experience working with low-code/no-code automation tools such as n8n, Workato, Make, or similar platforms.
Curiosity and motivation to create AI-driven helpers and automation experiences that streamline how employees work and interact with internal systems.
Strong problem-solving and self-learning abilities, with a hands-on approach to tackling complex challenges and delivering real solutions.
Strong communication skills, with the ability to clearly convey technical ideas and solutions to a wide range of audiences.

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with our networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.

Requirements:
What we need to see:

B.A. / B.Sc. in Computer Science/Software Engineering or Practical Software engineer.

Knowledge in Networking and system experience.

Programming skill.

High English level.

Fast learner with outstanding technical skills.

Ability to self-manage, show leadership, good analytical skill.

Ways to stand out from the crowd:

Experience as Software QA Engineer.

Python programming proven skill.

Familiarity with network protocols.

Experience working with BMC and Host Management Network interfaces and standards.

Experience with Crypto and Security Networking standards.

Requirements:
What we need to see:
B.SC./ M.SC. in Electrical Engineering
You should have at least 5+ years of hands-on Physical Design 'Place and Route' experience, demonstrating your proven expertise.
A strong background in Physical Design methodology, including Synthesis, Floorplan, CTS and Routing, is necessary.
Sign-off stages experince such as , 'STA', 'PV', 'LEC' and 'EMIR'.
In-depth knowledge of advanced silicon process technologies.
Familiarity with physical build EDA tools, including Synopsys and Cadence.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.

Ways to stand out from the crowd:
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
Understanding of the chip and die verification process.