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Requirements:
5+ years of experience in backend development, with a strong foundation in designing and maintaining scalable systems
2+ years of hands-on experience with TypeScript and Node.js in production environments.
Experience working with databases such as BigQuery, MongoDB, or relational SQL systems
Experience with cloud infrastructure (preferably GCP) and cloud-native architectures
A self-driven,independent, leader and fast learner with a proactive approach to solving problems
Experience with high scale production systems
Excellent collaboration and communication skills with team members and product team
Preferred Qualifications
Experience developing security-related products, especially in the code analysis or AppSec domain
Bachelor's degree or equivalent military experience required
CI/CD methodologies and relevant tools (such as Jenkins, Github actions, CircleCI)
Orchestrated and managed containerized applications using Kubernetes, including deployment, scaling, and self-healing of microservices.

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:
3-4 years of experience managing software engineering teams within a large-scale organization.
5+ years of hands-on software engineering experience with a strong systems-level foundation.
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end.
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure.
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives.
Preferred Qualifications
Experience with programming languages such as Go and Python.
Familiarity with large-scale data platforms, including BigQuery, MongoDB, and MySQL.
Professional experience in cybersecurity, data security, or threat intelligence.
Experience operating and maintaining highly distributed services at massive scale.

Requirements:
In-depth knowledge of some operating system internals is a must - Knowledge of Linux is an advantage
Development experience in C/C++/Rust is a must, 3 years at least
Experience in security research - 3 years at least
Experience in reverse engineering - both static and dynamic, is a must (x86/64 architectures), 3 years at least
Development knowledge in some scripting languages is a must - Experience with Python is an advantage
Ability to work independently and as a part of a team
Strong attention to detail
Ability to take initiative
Preferred Qualifications
Exploitation experience is an advantage (either application-level security or memory corruption)
Familiarity with Kubernetes, containers, and cloud workload security.
Experience leading endpoint security projects across organizational boundaries and teams
Academic experience
Published security research, conference presentations, or CVEs.

Requirements:
Your Impact
Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code.
Help the team tackle complex, hard problems to elevate our autonomous development product from "good" to "excellent".
Lead complex initiatives in Context Engineering and Prompt Engineering.
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development.
Serve as a leading individual in a very strong team professionally and personally - Were looking for someone who not only delivers his own work but improves that of those around them.
Find space for growth to push the entire team or group forward - New projects, changing processes or improving existing tools.
View prompt engineering as a core engineering discipline-where rewriting agent behavior is a versioned, reviewed, and tested code change.
Act with a debugging temperament; conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them.
Your Experience
At least 8+ years of experience in software development, architecture, or owning operational systems in production.
Computer Science B.Sc. or equivalent education or equivalent military experience required.
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise.
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it.
Positive can-do mindset, able to work independently and within a team.
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points.
You know how to build the right context for a task, including memory systems, session storage, and vector databases.
You understand where LLMs fail and how to design around those failure points.
You've used traces or observability tooling to diagnose and improve agent behavior.
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions.
Experience in the cybersecurity space - an advantage.

Requirements:
* At least 4 years of experience as an HR Business Partner
* You are a true Entrepreneurial Builder at heart, thriving in dynamic environments where you can launch and manage critical HR initiatives from inception to completion, driving tangible impact for your assigned business unit.
* You possess a strong command of strategic HR Business Partnering, enabling you to align people strategies with business objectives.
* You excel at managing the full employee lifecycle, demonstrating expertise in onboarding, performance cycles, and retention strategies.
* You are skilled in hands-on recruitment and learning & development initiatives, fostering talent growth within teams.
* You possess exceptional issue resolution capabilities and a proactive approach to maintaining a positive organizational climate.
* Knows how to create and work with AI agents and assistants. Working with AI AI tools will be leveraged to streamline administrative tasks, analyze employee data for trends, and enhance recruitment processes. You'll utilize these tools to gain insights and improve efficiency, allowing you to focus your energy on strategic initiatives, complex problem-solving, and building meaningful relationships within your assigned unit.

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:
Your Expereience:
6+ years of Devops engineering experience on mission-critical, enterprise-level systems in a hybrid (both cloud and on-prem) environment.
3+ years of hands-on experience with cloud environments, preferably Google Cloud Platform (GCP).
Expertise in configuration management and Infrastructure-as-Code using frameworks such as Terraform and Ansible.
Strong programming/scripting knowledge in languages like Python, Bash, or Go for infrastructure automation.
Demonstrated experience with CI/CD pipelines (e.g., GitHub, Jenkins, Artifactory) and a strong foundation in Linux/Unix administration.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Kubernetes.
Hands-on experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus.
Understanding of networking principles including firewalls, load balancers, and complex network designs.
A curious and positive mindset with a passion for applied learning and challenging existing processes for continuous improvement.

Requirements:
Your Experience:
Keeps up with the latest research and stays on top of the fast-moving AI space, with a real passion for whats happening in Generative AI.
Regularly tries out different AI tools and sees how theyre useful in everyday work and life.
Strong understanding of advanced prompting techniques like Chain-of-Thought, ReAct, and few-shot prompting.
Experience working on model quantization or finding ways to optimize inference costs and token usage at scale.
Hands-on experience with Python (FastAPI, Django, or Flask) or Go, with a solid grasp of async programming and microservices.
Experience turning a vague product idea (e.g., "let's add a smart assistant") into clear, concrete technical requirements.
Nice to have:
Hands-on experience using frameworks like LangChain to build more complex LLM flows and agents.
Experience working with vector databases.
Comfortable building and using RESTful and GraphQL APIs, especially when dealing with low-latency streaming (WebSockets, Server-Sent Events).
Enjoys digging into non-deterministic systems - when an LLM fails, comfortable figuring out whether its the prompt, the retrieval, or the data.
Familiar with AI-specific security risks, like prompt injection and data leakage.

Requirements:
Your Experience
6+ years of experience working as a Backend Developer.
3+ years of experience as a team lead.
Security knowledge (preferably code security)
Development experience in JS/TypeScript.
Live production systems with high-scale.
Experience with Kubernetes development.
Experience in the cloud (preferably GCP).
An Advantage:
Experience with GCP or any other cloud provider.
Bachelor's degree or equivalent military experience.

Requirements:
Academic degree in Electrical Engineering or Computer Engineering Must Minimum 5 years of hands-on experience in VLSI TEST Engineering- Must Strong experience in ATE TEST development and debugging. Programming experience in C, HTML, Python Familiarity with Unix / Linux environments Experience with production TEST flows, characterization, validation, and qualification. Knowledge of DFT methodologies and production TEST concepts. Ability to work effectively in a multidisciplinary environment. Strong analytical and problem-solving skills. Excellent communication skills and ability to work independently. Advantages
* Experience with Advantest and/or Chroma ATE platforms.
* Knowledge of Shell scripting and PERL
* Experience with High-Speed SerDes testing.
* Familiarity with Load Board and Probe Card design.
* Knowledge of Wafer Sort and Final TEST methodologies. Why Join Us? Be part of a leading semiconductor company developing cutting-edge technologies. Join a highly professional team of experienced engineers. Work on advanced VLSI products from development through high-volume manufacturing. Enjoy a collaborative, innovative, and growth-oriented environment.
?Location: Migdal HaEmek, Israel Work Model: Hybrid, 3 days per week from our office in Migdal HaEmek or Herzliya

Requirements:
Bachelors degree in Information Systems, Industrial Engineering, Computer Science, or a related field.
3-5 years of experience in automation/integration engineering or a similar role.
Hands-on experience with iPaaS platforms such as Workato, MuleSoft, Boomi, or similar platforms; Workato is strongly preferred.
Experience designing and implementing integrations with business systems such as Salesforce, NetSuite, and other SaaS tools.
Proven ability to quickly understand complex business processes and translate them into scalable technical solutions.
Familiarity with Model Context Protocol (MCP) concepts and Workato capabilities related to exposing or triggering recipes through MCP-compatible interfaces.
Familiarity with using AI tools and methodologies to improve development and automation workflows, including creating or improving reusable skills and agentic workflows.
Hands-on coding experience with JavaScript or Python for custom logic, data transformation, and flexible integration design.
Strong familiarity with REST APIs, webhooks, integration patterns, and authentication/authorization flows.
SQL or advanced data transformation experience.
Strategic thinking and the ability to influence and motivate teams toward efficient designs, best practices, and responsible use of platform capabilities.
Good working knowledge of Git and version control workflows.
Understanding of enterprise process frameworks such as Lead-to-Cash, Procure-to-Pay, and HR workflows.
Excellent communication and collaboration skills.

Requirements:
4+ years of technical support experience within B2B SaaS
Strong SQL skills and the ability to analyze real queries
Deep understanding of REST APIs, webhooks, authentication, and integrations
Experience working with logs, monitoring systems, and debugging tools
Proven ownership of high-severity incidents
Experience improving processes, building automation, or enhancing operational workflows
Comfort using AI tools within technical workflows
A systems thinking mindset that goes beyond ticket execution

Requirements:
5 years of experience in Business Analytics or Analytics Consulting within a technology company.
Advanced SQL and strong analytical capabilities.
Strong understanding of business processes, KPI design, semantic layers, and analytical modeling.
Proven ability to define standards and lead cross-functional initiatives.
Experience building scalable analytical solutions rather than one-off analyses.
Strong data storytelling, communication, and stakeholder management skills.
Hands-on experience delivering complex data products using AI-powered workflows, including skills, prompts, and agents with tools such as Cursor, Codex, Claude Code, and Cowork.
Passion for improving how organizations use data to make decisions.
Strong curiosity about emerging AI capabilities and their practical application within analytics.

Requirements:
Previous experience in Data Analysis.
Bachelors Degree in Economics (or Mathematics, Statistics, Engineering or similar quantitative field).
Advanced analytical skills, ability to spot patterns and trends.
Excellent Excel skills.
An interest in mobile games.
Previous experience in strategic/financial consulting - Advantage