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Planning passive infrastructure for computer halls, communication rooms, control room and command centers.
Managing consultants and contractors for the implementation of passive infrastructure projects.
Project management - defining and planning communication infrastructure as part of construction projects.
Supervision and control of projects in the field of passive infrastructure.
Planning, installation and operation of video distribution systems.

We are seeking for a Big Data Engineer with data architect skills to join our team and contribute to our advanced and challenging technological environment.
In this role, you will collaborate with diverse professionals working on projects that involve planning and designing processes in large and complex systems.
You will develop infrastructure components for pipeline in the big data environment using airflow as a data flow manager tool.
You will advise and support data engineers and developers in designing architecture and implementing solutions on top of big data platforms using various technologies.

we are looking for an experienced Web Platform Team Lead to lead our engineering team in building and optimizing our feature-packed, high-scale web application.
Role Overview:
As the Web Platform Team Lead, you will be responsible for architecting and leading the development of our web platform, ensuring its ability to handle high data scale while providing a rich user experience. Youll work closely with product managers, designers, and engineers to develop features that cater to the needs of our enterprise clients. This is a hands-on leadership role where you will guide a team of engineers, contribute directly to the codebase, and shape the future of our platform.
Key Responsibilities:
Full-Stack Leadership: Lead and mentor a team of engineers responsible for both the web application and the Node.js-based gateway service in building, maintaining, and optimizing a highly scalable and feature-rich web platform that serves our enterprise clients.
Architecting for Scale: Design and implement solutions that ensure our platform can handle massive data volumes while maintaining high performance and flexibility for complex use cases.
Feature-Rich Development: Lead the development of new features and functionality, ensuring they are seamlessly integrated into the platform while meeting the high standards of flexibility and usability required by enterprise clients.
Collaboration: Partner with cross-functional teams (product, design, and application) to deliver high-impact, customer-centric features.
Mentorship: Provide mentorship and coaching to engineers, fostering a culture of continuous learning, innovation, and best practices.
Testing & Reliability: Implement and enforce robust testing practices (unit, integration, and end-to-end testing) to ensure platform reliability at scale.
Continuous Improvement: Stay up-to-date with industry trends, emerging technologies, and best practices in web development and apply them to improve our platform.
Agile Process Management: Lead sprint planning, daily stand-ups, and retrospectives to ensure smooth project delivery and efficient team collaboration.

We are interested in welcoming an MLOps Engineer to join our diligent team and design, build, test, document, and debug machine learning infrastructure, following industry and company standards.

We're growing fast and looking for an experienced and passionate senior leader to head our Application Engineering groups. This is a unique opportunity to drive the development of our cutting-edge SaaS platform, purpose-built for enterprise clients in the financial services sector.
As VP of Application Engineering, you will play a key role in shaping the architecture, roadmap, and practices of our core platform. Youll help steer the evolution of our SaaS solution to meet the needs of enterprise customers, while building the technical and organizational foundations for scale. In addition to guiding development priorities, youll foster a culture of engineering excellence, collaboration, and continuous improvement across the application teams.
This role reports directly to the CTO and is part of FundGuards leadership team.
Key Responsibilities:
Own the end-to-end development of our application layer, which integrates big data technologies and a distributed services architecture built for scale and resilience.
Lead and inspire a growing organization of ~80 engineers, building a strong engineering culture focused on quality, agility, and impact.
Translate business needs into scalable technical solutions by collaborating closely with R&D leadership, Product, and Customer Success teams (across Tel Aviv and the U.S.).
Ensure timely and high-quality delivery across multiple product areas, features, and customer initiatives.
Continuously evolve engineering practices, organizational structure, and team capabilities to support FundGuards rapid growth.

We are looking for a GenAI expert with in-depth knowledge of Large Language Models (LLMs) to identify, develop, and integrate GenAI solutions into the organization's working environment. The role involves identifying business and technological needs, assessing various solutions, and implementing appropriate tools and technologies.
Understand user needs and translate them into AI-based solutions.
Conduct POC using LLM models.
Identify, evaluate, and recommend technologies and tools (commercial and open-source).
Assist in implementing AI tools into the organization's infrastructure.
Proactively explore new applications for GenAI technology.

We are looking for a senior ML engineer to join us and built groundbreaking systems designed to handle massive-scale data at an unparalleled magnitude.
In our team we engineer mission-critical solutions that address some of the complex and high-stakes challenges at a national level.
Our unique data poses novel challenges, pushing us to continually innovate and redefine what's possible.
As a Senior ML Engineer you will:
Engineer, design and implement robust, high-performance data-drive pipelines and infrastructure.
Design critical systems for production environments, including observability, monitoring, CI\CD pipeline and resource management.

vtransforming the way products are made, distributed, sold, used, reused, and ultimately, recycled by enabling a new level of visibility of products in the wholesale channel, cutting the capital tied up in inventories and environmental footprint, while driving up sales by having real-time insights into their products wherever they are used. We invite you to help make sense of the world/
We are looking for a DevOps engineer to join the team.

Responsibilities
Own operational responsibility for the application and platform layers in a critical SLA.
Oversee and own overall production - deployments, maintenance, and enhancements.
Ensuring Production SaaS platform high availability working with various teams.
Improve our systems, deployments, operations, and overall cloud activities.
Responsible for deployment, tools, troubleshooting, and performance tuning.
Manage incidents
Focusing on root cause analysis, prevention measures, and knowledge transfer.
Develop and maintain processes, documentation, and automation.
Platform maintenance and testing initiatives.

Were looking for an experienced Senior Full Stack Engineer in Tel Aviv-Yafo who is passionate about frontend architecture and product experience. This role is UI-focused (80% frontend, 20% backend in Java) and offers the opportunity to own features end-to-end in a modern, cloud-native environment.
Why This Role Matters:
As a Full Stack Engineer with a frontend emphasis, your work will directly shape how developers monitor, understand, and optimize their databases. You'll tackle challenges related to scale, data visualization, and performanceall within an application built for developers, by developers.
Youll work in a small, autonomous team backed by the resources and expertise of a global observability leader. This is a high-impact role with ownership over UI architecture and product flows.
As a Senior Full Stack Engineer on our team:
You will design and build complex, high-performance user interfaces in React and TypeScript.
You will work with backend components in Java, focusing on the integration and orchestration of frontend feaures.
Youll contribute to a modern frontend architecture, including micro frontends, component libraries, and design systems.
Youll collaborate closely with product, design, and engineering peers to deliver polished, user-centric features.
Youll help shape visual workflows that make complex database performance data intuitive and actionable.

We are looking for a DevOps Engineer.
As a DevOps engineer, you will have the opportunity to build an
E2E CI\CD pipelines from the ground up as well as be in charge of large
deployments and their healthiness. You will be working on monitoring, log
analysis, deployment, testing, rollout to production and much more.
Our ideal candidates are highly motivated
individuals with strong technical skills and a solid background and
understanding in DevOps methodologies, technologies, and tools.
Responsibilities:
Enable and enhance team developer workflows by developing CI/CD and automation capabilities.
Leading the monitoring of the teams offerings through logs, metrics, traces and more.
Taking part in a top-notch technology team, code reviewing and knowledge sharing.
Support the core research teams with their workflows using the teams solutions.

Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL/Signal Processing/Data Mining to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Algorithms