Jobs in Jerusalem

You will be part of Mobileye's REM (Road Experience Management) department, responsible for the automatic 3D High Definition map making process, a key technology powering Mobileye's autonomous driving and advanced driver assistance systems. This process runs large‑scale algorithmic pipelines on big‑data infrastructure and requires a deep understanding of the team level code, a good understanding of the data flow integration with the group level, along with strong technical and algorithmic capabilities. We are seeking a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety. What will your job look like: • Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems. • Implement and maintain production‑level Python code within a complex, large codebase. • Analyze large datasets and build scalable solutions using scientific and big‑data tools. • Take algorithms from research and prototyping through production deployment. • Continuously research and develop new algorithmic approaches to address emerging challenges. • May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms. All you need is: • B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field. • 5+ years of experience working with large production codebases. • 2+ years of experience developing scientific or data‑intensive applications in Python. • Proven ability to solve complex problems. Nice to have: • Advanced degree (M.Sc. or Ph.D.). • Experience in statistical estimation. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for Mobileye’s Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping. What will your job look like: • Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery. • Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency. • Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning. • Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs). All you need is: • 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment. • 5+ years of deep backend experience building high-scale, distributed cloud architectures. • Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent). • Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes). • Proficiency in Node.js and/or Python. • Solid understanding of high performance relational/NoSQL databases. • Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats). Nice to have: • Experience with task queues and stream processing frameworks (Celery, Spark etc.). • Background in geospatial data processing or handling. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are looking for an M.Sc. Graduate Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar) - Must • B.Sc. from a leading university • Solid background in Machine Learning and Deep Learning • Strong Python development skills • Highly motivated, hard-working, proactive, and driven to solve challenging problems • Ability to operate in a fast-paced research & development environment Advantages: • PhD or relevant academic publications • Experience with Linux, Git, Docker, C++ • Knowledge in 3D perception, computer vision, or robotics • Industry experience working on CV and Deep Learning Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

You'll join Mobileye's REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services. Building validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient. What your job will look like: • Plan and build advanced, end-to-end validation processes for REM mapping and localization. • Build validation tools that use geometric calculations, logic and heuristics. • Add new features to the validation pipeline and make it more sensitive, faster and better. • Use AI tools to improve the development process, for example automated code review, unit-test generation and automating repetitive tasks. • Work with algorithms and tools from other R&D groups and build them into the validation infrastructure. • Analyze large-scale data on the cloud and turn the results into clear conclusions. All you need is: • B.Sc. in Computer Science, Software Engineering or a related field. • 3+ years of hands-on software development, with Python in production (Pandas, NumPy, SciPy, etc.). • Good coding practice: Git, testing, CI/CD. • Daily, hands-on use of AI coding assistants and agents (e.g., GitHub Copilot, Claude Code, Cursor). • A critical eye for AI output: reviewing, testing and checking AI-generated code and results. • Strong analytical skills, with broad vision and technical depth. • Good communication and teamwork across groups. • Fluent English. Nice to have: • Experience automating development and data workflows with LLM-based tools and agents. • Knowledge of descriptive statistics, probability and statistical inference. • Geometry or geospatial work (Shapely, GeoPandas, coordinate systems). • Cloud and distributed processing (AWS S3/Athena, SQL, Spark/PySpark). • Computer vision, ML or mapping/localization. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving. Our group tackles diverse challenges — from object detection and scene understanding to 3D perception — using large-scale, real-world in-house datasets and state-of-the-art deep learning models. What will your job look like: • Develop and train neural networks for complex perception tasks in real-world driving environments. • Design and analyze deep learning pipelines, from data to deployment. • Collaborate with algorithm, software, and data experts to deliver production-ready models. • Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency. All you need is: • M.Sc. in Computer Science, Electrical Engineering, or a related field. • At least 2 years of industry experience developing deep learning–based computer vision algorithms. • Strong Python programming skills and hands-on experience with PyTorch. • Solid understanding of deep learning and computer vision. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like: • You will implement, maintain, and refactor operational codebases in C++. • You will coordinate interfaces, align API specifications, and integrate algorithmic modules with platform and vehicle systems. • You will reproduce bugs, resolve integration issues, and address system-level bottlenecks. • You will maintain technical documentation, API specifications, and workflow guidelines. • You will maintain and troubleshoot CI/CD pipelines and automated AI development tools. All you need is: • B.Sc. in Computer Science or Computer Engineering. • 1-2 years of software engineering experience; top-tier fresh graduates are welcome. • Solid proficiency in C++ and experience writing clean, modular, and maintainable code. • Familiarity with Linux, Git, and modern CI/CD software pipelines. • Experience with AI development platforms such as Cursor or Claude Code, including experimenting with them to improve development flows. • Strong understanding of software design best practices. Nice to have: • Experience with Python or scripting languages for build and integration automation. • Understanding of system architecture, IDLs, microservices, or modular frameworks. • Experience managing multi-team deliverables or tracking workflows using Jira or Confluence. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Description abra's R&D Embedded division is seeking an Embedded Software Engineer (Python/Linux) to join our team in Ra'anana/Jerusalem! We are seeking an experienced Embedded Software Engineer to develop software solutions for Linux-based embedded systems. The role involves designing and implementing software that interfaces with hardware components, communication peripherals, and system-level services. The ideal candidate is a hands-on engineer with strong Python skills, experience working in embedded Linux environments, and the ability to independently investigate technical challenges and drive solutions from concept to implementation. Key Responsibilities: • Develop software for embedded Linux platforms using Python. • Design and implement software interfaces for hardware peripherals and system components. • Integrate and validate communication interfaces and device functionality. • Investigate, debug, and resolve software and hardware integration issues. • Collaborate with multidisciplinary engineering teams. • Utilize AI-assisted development tools to improve productivity and software quality. • Document software design and implementation. Requirements • B.Sc. in Computer Science, Software Engineering, or a related discipline. • 3+ years of software development experience with Embedded Python/C++ programming skills and tools development. • Hands-on experience working with Embedded Linux environments. • Experience interfacing with hardware devices and peripherals through software. • Ability to read hardware specifications and datasheets and implement software APIs accordingly. • Understanding of low-level communication protocols such as I2C, SPI, UART, and Ethernet. • Practical experience using modern AI-assisted development tools (such as GitHub Copilot, ChatGPT, Cursor, or similar) as part of the software development workflow. • Strong troubleshooting, debugging, and investigative skills. • Self-driven engineer capable of independently driving technical investigations, identifying information gaps, and collaborating with stakeholders to resolve them. Advantages: • Experience developing hardware diagnostics, validation, test, or board bring-up tools for embedded systems – big advantage. • Experience with gRPC and Protocol Buffers (Protobuf). • Experience with FPGA-based systems, PCIe, ADCs, or clocking devices. • B.Sc. in Electrical Engineering. • Experience working with lab equipment such as logic analyzers, oscilloscopes, or JTAG debuggers.

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Jerusalem Manufacturing Engineering function supports reliable, compliant, and efficient production of medical devices. The team partners with Operations, Quality, Maintenance, Supply Chain, and other engineering functions to sustain manufacturing processes, introduce equipment, expand capacity, and drive continuous improvement. This position follows a hybrid work model, with onsite presence required to support manufacturing activities. The Manufacturing Engineer will provide hands-on engineering support for production processes and equipment. The role monitors process performance, leads equipment and capacity projects, investigates manufacturing failures, prepares and maintains engineering documentation, and ensures that processes comply with applicable medical-device manufacturing requirements. The successful candidate will help improve process stability, productivity, quality, and manufacturing readiness through data-driven problem solving and effective cross-functional collaboration. This is a temporary, 9-month contract position. Primary Responsibilities: • Monitor manufacturing processes using statistical process control and develop effective process-monitoring techniques • Lead small to medium projects for the selection, installation, qualification, and implementation of new manufacturing equipment • Investigate process and equipment failures using structured root-cause analysis and support nonconformance, corrective action, and preventive action activities • Create and maintain engineering change orders, work instructions, equipment files, validation protocols, and validation reports • Manage manufacturing equipment and capacity requirements in accordance with production demand. Ensure manufacturing processes and procedures comply with applicable regulations and quality-system requirements for medical devices • Collaborate with Operations, Quality, Maintenance, Supply Chain, and other stakeholders to resolve production issues and implement sustainable improvements • Prioritize engineering deliverables based on business needs, project criticality, product quality, and production continuity. Required Qualifications: • Bachelor's degree in Electrical, Mechanical, Materials, Biomedical Engineering, or an equivalent engineering discipline • Minimum of 3 years of relevant manufacturing engineering experience • Experience managing small to medium engineering projects • Practical familiarity with manufacturing technologies, production methods, and engineering documentation • Professional proficiency in written and spoken Hebrew and English. Preferred Qualifications: • Experience with Six Sigma methods and structured root-cause analysis • Experience in the medical-device industry or another regulated manufacturing environment • Experience with process and equipment qualification or validation • Experience using SOLIDWORKS. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.  ‌ ‌ Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and official @medtronic.com email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at [email protected]. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. ‌ This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

Description למסע דרוש/ה מנהל/ת פרויקט דיגיטל ואפליקציה לריכוז, תיאום ומעקב אחר פיתוח והטמעת אפליקציה חדשה למשתתפי מסע, לבוגרים, למארגנים ולשותפים בארץ ובעולם. התפקיד הוא חלק מצוות מערכות המידע ובכפיפות למנהל מחלקת מערכות מידע. תחומי אחריות • ניהול תוכנית העבודה, המשימות, אבני הדרך ולוחות הזמנים; מעקב אחר ביצוע והצפת חסמים, סיכונים ובקשות • תיאום העבודה מול חברת הפיתוח וספקי האפיון והעיצוב, מעקב אחר תוצרים, הבהרות והתאמת הביצוע לדרישות בהתאם לאבני הדרך בפרויקט האפיון והפיתוח. • איסוף צרכים ותרגומם למסעות משתמש, דרישות מערכת, סיפורי משתמש וקריטריוני קבלת התוצר הסופי. • קידום חווית משתמש, קידום שימוש באפליקציה, ריכוז מדדים, אנליטיקה ומשוב לצורך שיפור וייעול. ריכוז דרישות האינטגרציה עם Salesforce ומערכות נוספות, , בתיאום עם צוות מערכות המידע. ריכוז בדיקות מערכת, אינטגרציה ו-UAT, מעקב אחר תיקון ליקויים ותיאום פיילוט, השקה והטמעה. • ריכוז הפיילוט, ההשקה, ההטמעה והאחזקה השוטפת כולל הכנת חומרי הדרכה. • סיוע במשימות מחלקתיות בתחומי אפיון, תיעוד, בדיקות, הטמעה ותמיכה ביישומים, בהתאם לתיעדוף המחלקה. Requirements • לפחות 2 שנות ניסיון בניהול פרויקטים בעולמות הדיגיטל, האפליקציות או המוצרים הדיגיטליים. • ניסיון בליווי פיתוח אפליקציה או פלטפורמה דיגיטלית משלב האפיון ועד ההשקה. • ניסיון באפיון מסעות משתמש, תרגום צרכים לדרישות פיתוח, בדיקות, UAT ועלייה לאוויר. • יכולת עבודה מול צוותי פיתוח ומערכות מידע, הבנה באינטגרציות, ממשקי API, תהליכי מידע והרשאות. • ניסיון בשיווק דיגיטלי, , אנליטיקה ומדידה, כולל יכולת להציג שיפור מבוסס נתונים • יכולת עבודה עצמאית, תעדוף וניהול משימות במקביל, תיאום ממשקים • עברית ואנגלית ברמה גבוהה מאוד, בכתב ובעל פה. היקף משרה: משרה מלאה מקום העבודה: ירושלים. העסקה: באמצעות ארגון מסע. עבודה היברידית, פעמיים בשבוע מהבית. קורות חיים מפורטים יש להגיש לא יאוחר מיום ה- 31.10.2026 בלינק בלבד https://www.masaisrael.org/careers/ רק פניות מתאימות תענינה.

Description ריכוז תחום תוכניות דוברות רוסית: • ריכוז לוגיסטי של הפעילות החינוכית, המפגשים והכשרות הצוותים למארגנים • עבודה בשיתוף פעולה עם כלל המחלקות השונות במסע • ארגון ותכלול אירועי מסע • פיתוח ושכלול התכניות הקיימות • ריכוז פרויקטים ומיזמים חינוכיים: מסע ID כנס הרופאים קשר עם מארגנים ומשתתפים: • סיוע למנהל המוצר בשימור הקשר הישיר עם כלל המארגנים הקיימים – מנהלים, רכזים ומדריכים • ביקורי שטח בתוכניות אשר כוללים שיח עם המשתתפים ואנשי הצוות • מתן מענה לפניות משתתפים ופניות מארגנים • גיוס, איתור ורתימת משתתפים ובוגרים ליוזמות חינוכיות / שיווקיות / FRD / ביקורים. Requirements • יכולת לוגיסטית ותפעולית גבוהה • יכולת עבודה בצוות והובלת יוזמות • יכולת עבודה תחת לחץ • יכולות בינאישיות גבוהות: ייצוגיות, אסרטיביות. • יכולת תקשורת מילולית וכתובה ברמה גבוהה. • עברית ורוסית ברמה גבוהה - חובה. אנגלית – יתרון • ניסיון ב-OFFICE • ניסיון בתוכנות salesforce, Canva, ו Monday.com- יתרון • היכרות עם עולם תוכניות מסע / עבוד עם צעירים יהודים מחו"ל- יתרון • זמינות למשרה מלאה • רישיון נהיגה - יתרון היקף משרה: משרה מלאה מקום העבודה: ירושלים. העסקה: באמצעות ארגון מסע. עבודה היברידית, פעמיים בשבוע מהבית. קורות חיים מפורטים יש להגיש לא יאוחר מיום ה- 31.10.2026 בלינק בלבד https://www.masaisrael.org/careers/ רק פניות מתאימות תענינה.

Description CodeValue is looking for an experienced Senior Full Stack Developer to join a large-scale, mission-critical project delivered by CodeValue for a leading Israeli government organization. You will be part of a professional development team working on a modern digital system, combining backend and frontend technologies, cloud infrastructure, containers, and AI capabilities. This is an excellent opportunity to work on a large-scale, high-impact system in a challenging and technologically advanced environment. What You'll Do • Design, develop, and maintain complex software systems. • Develop backend services using ASP.NET Core 8 and C#. • Develop modern frontend applications using Angular 18. • Work with Angular Material, Signals, and RxJS. • Develop and optimize solutions based on SQL Server. • Work with Elasticsearch in large-scale environments. • Develop and deploy containerized applications using Docker and Kubernetes. • Work with cloud environments and modern development infrastructure. • Work with AI tools and Large Language Models (LLMs) as part of the development process. • Collaborate with developers and other professional teams in a large-scale environment. • Use configuration and source-control tools such as Git and Azure DevOps. • Contribute to the design, development, and improvement of mission-critical systems. Requirements At least 4 years of hands-on experience in server-side and client-side component and application development. At least 4 years of experience developing web systems. Experience with Microsoft development environments (.NET Framework, .NET Core) or Nodejs Experience in server-side component development using C# / Node.js Experience in client-side component development using Angular/ React. Experience in developing and consuming REST APIs. Experience working with Oracle environments, writing SQL queries, and using TOAD for development, code analysis, debugging, and process optimization. Hands-on experience or familiarity with developer AI tools (e.g., Amazon Q). Experience working with Git and CI/CD processes in Azure DevOps. Experience in writing unit and integration tests, with strong familiarity with software testing principles and methodologies. Experience with cloud-oriented microservices architecture, system upgrades, and code optimization.

Description CodeValue is looking for a Cloud Architect to design, lead, and implement secure, scalable, and advanced cloud solutions. The role involves supporting systems throughout their entire lifecycle, from architecture and design through development, cloud migration, deployment, and ongoing optimization. The successful candidate will provide technical leadership, define architectural standards and engineering methodologies, support development and infrastructure teams, and drive cloud modernization, cloud security, and the adoption of emerging technologies, including AI-based solutions. Key Responsibilities • Design and implement cloud architectures across public and hybrid cloud environments. • Lead cloud migration, modernization, and transformation of applications, systems, and infrastructure. • Define architectural standards, engineering methodologies, development tools, and best practices. • Ensure secure, maintainable, and high-quality system design and implementation. • Design and implement cloud security solutions, including identity and access management, network security, and cloud security controls. • Provide technical leadership and guidance to development, infrastructure, and DevOps teams. • Design solutions using IaaS, PaaS, and SaaS services. • Prepare architectural documentation, technical specifications, and architecture diagrams. • Define and support high availability, monitoring, logging, backup, disaster recovery, and operational readiness. • Evaluate and integrate emerging technologies, including AI and Large Language Models (LLMs), where relevant to the solution. Requirements Candidates must meet the requirements of at least one of the following professional tracks: Track 1: Cloud Architecture & Cloud Security • 2–4 years of experience as a Cloud Solutions Architect in public cloud environments. • Hands-on experience with one or more of the following: AWS, GCP, Google Workspace, or Microsoft 365. • Hands-on experience securing cloud environments, including implementation, ongoing management, migration, and application or infrastructure modernization. • Proven experience managing and operating cloud security tools. • Experience designing cloud application architectures, including SaaS solutions and LLM-based solutions. OR Track 2: Cloud Architecture & Technical Leadership • At least 4 years of experience as a Cloud Solutions Architect in public cloud environments. • Experience with IaaS, PaaS, and SaaS architectures and services. • Experience designing enterprise information systems and leading cloud modernization and migration initiatives. • Experience providing cross-organizational technical leadership, defining engineering standards and development methodologies, and guiding technical teams. OR Track 3: Cloud Infrastructure, DevOps & Network Security Architecture • At least 4 years of experience in public cloud infrastructure, with a focus on AWS and/or GCP; knowledge of Microsoft Azure is an advantage. • Experience documenting architectures, writing technical documentation, and creating architecture diagrams. • Practical knowledge and experience with Infrastructure as Code (IaC), including Terraform, and CI/CD and GitOps processes. • At least 2 years of hands-on experience in cloud adoption, modernization, migration, or hybrid cloud environments. • At least 3 years of hands-on experience with Kubernetes, including installation, management, operation, and maintenance. • Understanding of cloud security, network connectivity, hybrid environments, and integration between cloud and on-premises systems. OR Track 4: Enterprise Cloud Architecture, High Availability & Technical Governance • Practical experience designing cloud architectures on AWS and/or GCP, with an emphasis on public-facing systems, high availability, and business continuity. • Experience designing secure solutions that protect sensitive information and translate cybersecurity requirements into solution architecture and SDLC practices. • Experience providing technical guidance to development teams, managing engagements with external software vendors, and overseeing architectural compliance and deliverables. • Experience managing requirements and architecture in complex, multi-stakeholder environments. • Practical software development background and understanding of DevOps, CI/CD, and microservices methodologies. • Proven ability to act as a senior technical authority, resolve complex technical problems, and lead the resolution of critical technology incidents. • Experience designing complex integration architectures, including APIs and event-driven systems. Advantages • Experience designing secure AI architectures, integrating LLMs, and implementing AI Guardrails. • Familiarity with MLOps, AI environments, Agentic AI, AI Agents, Log Mining, and Log Analytics. • Experience implementing cloud security solutions, including NGFW, WAF, Proxy, NAC, and VPN. • Knowledge of networking and security protocols, including BGP, OSPF, IPsec, and TLS. • Familiarity with identity and access management protocols, including OAuth 2.0 and SAML. • Experience with CI/CD tools such as GitHub Actions, Azure DevOps Server, or GitLab CI. • Knowledge of high availability, monitoring, logging, backup and recovery, and disaster recovery principles. • Relevant AWS or GCP certifications, particularly professional-level cloud architecture certifications. • Familiarity with cloud-related standards and regulatory requirements. • Experience working with educational organizations or academic institutions is a significant advantage. Location: Jerusalem, Israel