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we are a global fintech company (NASDAQ; TASE: NYAX) and a leading provider of cashless payment, consumer engagement, and business management solutions for the unattended retail sectors.
We are looking for a highly experienced and detail-oriented Risk and Compliance Operations Officer to join CoinBridge. This is a unique opportunity to join an early-stage company and significantly impact its product and success. In this role, you will take the lead on evaluating and mitigating financial risk, with a strong focus on AML, fraud prevention, and transaction monitoring across complex fintech operations. You will play a key role in safeguarding our business and ensuring full compliance with global regulatory frameworks.
Key Responsibilities:
Evaluate CoinBridge clients using a comprehensive KYB process, assign risk scores, and assess ongoing relationships with larger and more complex customers.
Design, review, and calibrate risk scoring models, fraud detection rules, and AML/terrorist financing controls to ensure effective coverage and timely detection.
Work closely with product and engineering teams to implement, test, and refine fraud prevention mechanisms and compliance features within the platform.
Monitor real-time financial transactions (e.g., wire transfers, card activity) to identify suspicious behavior and ensure compliance with regulatory requirements.
Analyze past transaction data to identify patterns indicative of fraud, money laundering, terrorist financing, or sanctions evasion.
Investigate and escalate suspicious activities to the MLRO, ensuring all regulatory filings (e.g., SARs, STRs) are accurate, timely, and well-documented.
Operate and maintain fraud detection software and AML tools, conducting periodic system checks and identifying any process vulnerabilities.
Collaborate with CoinBridge s third-party partners (e.g., Card scheme, card processors, compliance vendors) to ensure adherence to their regulatory and risk requirements and support any related audits or reviews.

We are seeking a proactive and talented Software Engineer Student to join our Algorithm team as part of the R&D department.
About the Role:
Implementation of scientific algorithms and computational models
Collaborate with scientists and researchers to analyze algorithms' results
Design, develop and optimize existing and new modules
Conduct performance analysis and optimization of scientific software
Document and maintain codebase, including writing technical documentation and unit tests

A leader in computer graphics, PC gaming, accelerated computing, and AI. the Networking Business Unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. The data processing unit (DPU) and series of SmartNICs ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, storage, and security services.

We are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux kernel and container networking, network functions virtualization (NFV), and related areas to join our team and work on innovative offload solutions. You will develop software for various networking offload and virtualization use cases as well as data forwarding on Ethernet switching platforms. You will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.

What youll be doing:
Design, develop, test, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
Design, develop, test, and maintain system software components related to networking.
Work on data forwarding functionality on Ethernet switching platforms.
Lead and guide cross-functional teams on large feature development activities.
Collaborate with team members, architects, QA, and Support teams on feature definition, development, release, and bug fixing.

Responsibility of testing and validation of products from prototypes to production
Collaborating with cross-functional teams to support manufacturing products
Setup TEST stations, install, validate and implement into production
Leading projects into production full responsibility
Analyzing data and yield metrics to identify improvements efficiently and cost reduction
Generate full reporting, presentations with detailed analysis, corrective actions and follow-up
Reading electrical schemas and data sheets
Support R D and Production activities. Work closely with ATE and HW teams
Overseeing production to ensure meeting standards specifications

we are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
Were looking for a strong expert to take part in a revolutionary large-scale project to transition our companys cutting-edge SW stack into the Bazel build system.
What will your job look like:
Designing, managing, and developing the build system infrastructure for our unique large-scale software stack, including DL training and deployment projects, real-time embedded software, and open-source projects.
Working closely with the DevOps team to ensure that the build system infrastructure is secure, reliable, and easily scalable.
Optimizing build times using cutting-edge distributed systems and caching technologies.
Troubleshooting build issues and provide guidance on best practices for build system management.
Building a strong echo system and infrastructure on the server side to ensure proper monitoring and debugging.
Keep up to date with the latest developments in the Bazel build system and suggest improvements to the existing build infrastructure.
Working closely with the development team to learn the technologies and provide guidance on best practices for build system management, ensuring that all software builds are reliable, efficient, and scalable.

The Road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision, and Geometric Modeling algorithms.
We are looking for an MLOps Software developer to help us design and implement our large-scale platform using the most up-to-date technologies.
What will your job look like:
Collaborate with algorithm developers to research, develop, and deploy machine learning models at a large scale.
Leverage our company's data sources and cloud computing to build an infrastructure that process terabytes of data to improve our machine learning models.
Perform software research, development, evaluation, and optimization.
Design and implement large scale systems.

our company's Logging team is developing Logging solutions, driving the data collection to allow advanced simulations to train and test our company AI engines. We are looking for experienced SW automation engineer to extend our integration team capabilities. In this position, you will join our integration and test team that supports our companys cutting-edge Logging solution.
What will your job look like?
Responsible for the development and maintenance of test content and automation tools for the autonomous vehicle Logging systems and E2E flows
Support integration and stabilization of CI environment and tests in the CI
Work closely with other development, CI and integration teams
Develop, document, and maintain the test strategy and test scenarios
Bring-up of new systems
First line support for internal and external customers
Lead Debug and Solve complex SW issues.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, and implementing control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
What will your job look like?
Work on developing and optimizing control algorithms for the vehicle
Run and analyze simulations to test autonomous vehicle in virtual environments
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.

We are seeking an experienced cloud solution architect (5+ years) to design, implement, and manage cloud infrastructure and CI/CD pipelines for big data solutions using Kubernetes and AWS.
If you are passionate about DevOps and big data, wed love to hear from you!
What will your job look like?
Design and manage cloud infrastructure on AWS using IaC tools like Terraform or CloudFormation.
Optimize Kubernetes clusters for big data workloads.
Develop and maintain CI/CD pipelines using tools like ArgoCD and GitLab CI/CD.
Implement monitoring and logging solutions for big data systems.
Ensure compliance with security best practices.
Collaborate with development and operations teams.
Troubleshoot and resolve complex technical issues.

The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
We are looking for a hands-on Algorithms Team Leader to join our group and lead one of our algorithmic teams.
The position requires coming to the office in Jerusalem twice a week.
What will your job look like:
Lead a team of talented Algorithm Developers.
Lead the research and development of innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Bring state of the art algorithms to product quality, running in the Autonomous Vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

we are looking for a hands-on Data Engineer Team Lead with a strong technical background in data infrastructure to join our Data Engineering & Data Science Group.
The Data Engineering & Data Science Group is a rapidly expanding team of skilled engineers. By joining them, youll have the opportunity to make a meaningful impact in shaping our data platform and contributing to the groups strategic roadmap.
In this role, youll be responsible for the professional and personal development of your team. Youll lead the technological strategy, build the tech agenda, work closely with the product, data-analysts and data-scientists, and drive your team to be accountable owners of their work as they meet company business goals.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Build, lead, coach, and mentor the data engineering team
Dedicate 70% of your work to hands-on development
Manage the agile delivery life-cycle and the teams CI/CD pipelines
Ensure coding standards and implementation of best practices by conducting design and code reviews
Lead an innovative roadmap considering cutting edge technologies and open source frameworks
Collaborate with engineers, data architects, data analysts, and data scientists to develop solutions using a use case-driven approach, guiding the design and implementation of technical data flows
Build and expand our data infrastructure, including our data lake, analytics engine, orchestration tools and batch processing frameworks
Enhance and scale our ML platform, and automate the machine learning lifecycle.

We are looking for a Data Science / Machine Learning Engineer Tech Lead to join the data science group.
Youll have the opportunity to make a significant impact by creating products that are used by millions of users around the world.
our Data Science group is responsible for developing and implementing data-driven models, conducting research to evaluate new data science methodologies, and analyzing large datasets to extract actionable insights.
The individual will collaborate with cross-functional teams to ensure actual impact on our users and business outcomes.
Responsibilities:
Software Engineering: Design, develop and implement data pipelines infrastructure, work closely with group members and peers
Machine Learning: Design, Research, analyze, develop, and implement predictive models, in addition to MLOps infra for various of machine learning techniques to address complex business problems.
Data Science Group focal point for aspects of code review, code quality, unit testing, E2E testing, ML models monitoring, maintainability and scalability
Collaboration: Work closely with cross-functional teams including Devops, Back End, and Mobile teams to define project goals and deliver data-science projects into production.
Stay updated with the latest research and advancements in MLOps, machine learning and AI.
Reporting: Create clear, concise, and actionable reports to communicate insights to stakeholders.

Required Senior Data Engineer
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management, using tools like DBT.
Develop Data pipelines to ingest and transform data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses. This will also include catalogs of data.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

Required FinOps Cloud Engineer
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader dont miss it!
About the Role
As our first FinOps Cloud Engineer, you will take ownership of our cloud cost management strategy while lead optimization initiatives aligned with our SaaS business goals.
You will work closely with cross-functional teams spanning SRE, DevOps and Engineering to monitor and analyze our multi-cloud environments, deliver actionable insights, and implement cost-saving measures without compromising service performance or reliability.
The ideal candidate will possess a strong blend of technical proficiency and analytical expertise.
What Youll Do
Strategic Leadership:
Take full ownership of the cloud cost management strategy.
Lead the FinOps domain at a technical level within the company.
Collaborate with cross-functional teams (DevOps, SRE and Engineering) to gather data and insights that drive effective cost management strategies.
Educate internal teams on cloud cost factors and best practices to enhance operational efficiency.
Financial & Technical Analysis:
Analyze cloud usage and financial data to identify trends, inefficiencies, and potential cost-saving opportunities.
Build dashboards and reports that track cloud spending trends, highlight anomalies, and inform strategic decisions.
Implement real-time monitoring and alerts to detect cost anomalies.
Generate business insights and forecast future cloud expenses.
Continuous Improvement:
Regularly assess and refine cost governance policies.
Evaluate pricing models, discount programs, and cloud provider cost-saving opportunities to ensure maximize return on investment.

Were looking for an experienced Software Team Lead to join the Identity group.
In this critical role, you will lead an excellent team of experienced engineers and solve architectural and engineering challenges, focusing on client-side work with significant interaction with backend teams.
You will manage and designing complex Identity and Authentication solutions, across all endpoint platforms, that ensure customers seamless experience with our products.
Responsibilities:
Lead and develop new Identity and Authentication solutions across various platforms and across different Identity and Authentication methods
Build an excellent team through recruitment, mentoring, and day-to-day management
End to End ownership of solutions throughout their entire design and development cycle which involve significant cross-team and cross-area collaborations
Working closely with multiple stack holders - product management, server groups, core networking groups etc
Designing and Implementing enterprise platform solutions
Researching new technologies and adapting them for use within the companys product
Be on top of relevant client-side technologies to facilitate additional features that will both allow for novel solution and at the time improve existing ones.