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RADWIN is looking for a proactive and highly organized Administrative Manager (50% position) to ensure the smooth day-to-day operations of our office. If you’re someone who loves creating an efficient, welcoming, and engaging work environment, we’d love to meet you! What You'll Be Doing: Be the go-to person for administrative needs like ID cards, Cibus, parking, etc. Keep the office running smoothly – managing office equipment maintenance, cleanliness, and overall organization. Ensure a well-stocked and efficient workspace – handling office supplies, groceries, and other administrative needs. Boost employee engagement by executing company events, celebrations, and activities. Support employees throughout their journey – assisting with onboarding new hires and managing offboarding processes. Manage schedules and logistics – coordinating meetings, appointments, and travel arrangements.

we are revolutionizing how merchants fight back against illegitimate chargebacks. We're not just another fintech - we're building AI-powered automation that's changing an entire industry, saving merchants millions while they sleep. As a FullStack Engineer, you'll work on real problems that matter. You'll build features that directly impact our merchants' bottom line, working across our entire stack to create solutions that actually work at scale. You'll own features end-to-end, tackle challenging technical problems, and see your code make a tangible difference every single day. What you'll be doing: Own features end-to-end in our chargeback automation platform - from AI-powered evidence generation to Real-Time merchant-facing insights Take features from concept to production - plan, build, deploy, and monitor your code in production Master our tech stack ( Node.js, Next.js, SQL/NoSQL, K8S, AWS) while building features across our 200+ microservices architecture Handle high-stakes data at scale - process thousands of chargebacks daily, ensure data accuracy, and maintain system reliability Be part of a strong engineering culture - work closely with engineers, product, QA, and DevOps to ship features that move the needle

we are at the forefront of fintech + AI innovation, backed by leading venture capital firms. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology, freeing online businesses to focus on their core ideas and growth. We are building the future, and we need you to help shape it. Who We're Looking For - The Dream Maker We're in search of an experienced and skilled Senior data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud. Your Arena
* Design, develop, and maintain scalable, robust data pipelines and ETL processes
* Architect and implement complex data models across various Storage solutions
* Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions
* Ensure data quality, consistency, security, and compliance across all data systems
* Play a key role in defining and implementing data strategies that drive business value
* Contribute to the continuous improvement of our data architecture and processes
* Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data -related questions and challenges
* Participate in and sometimes lead code reviews to maintain high coding standards
* Troubleshoot and resolve complex data -related issues in production environments
* Evaluate and recommend new technologies and methodologies to improve our data infrastructure