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As an R&D Team Leader in the Pricing & Packaging R&D crew, youll be a key contributor to designing and building our monetization platform - pricing and packaging engines that drive the core business model of our payments platform. Youll own complex features end to end, influence architecture and standards, mentor your team members, and help shape how we design, build, deploy, and operate services in AWS. This is a hands-on senior role with significant impact and room to lead technical changes.
What youll do
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

What youll do:
Own the technical direction of the Account Security group, driving architecture, engineering standards, and long-term technical strategy across multiple teams.
Be accountable for system design, architecture, code quality, reliability, scalability, and production readiness of mission-critical security services (authentication, MFA, real-time risk, bot protection, and abuse prevention).
Define and enforce engineering best practices and coding standards, ensuring high-quality, secure, and maintainable code across the group.
Design and evolve secure, scalable, and highly available backend systems that operate under real-time, high-throughput, and high-risk environments.
Partner closely with Product, Risk, Data, DevOps, and other R&D teams to align technical solutions with business and security needs.
Lead technical decision-making and navigate complex trade-offs between security, performance, scalability, and time to market.
Represent the group in architectural forums and design reviews, sign off on critical designs, and influence company-wide security architecture.
Proactively identify technical gaps, scalability risks, and security weaknesses, and drive cross-group initiatives to address them.
Continuously raise the engineering bar through design reviews, code reviews, testing strategies, observability, and operational excellence.
Mentor senior engineers and emerging technical leaders, shaping technical thinking and ownership across the group.
Play a key role in hiring, technical interviews, onboarding, and defining what great looks like for engineers in the group.

You will be a core member of the Cloud Modernization Commando, an elite, high-impact engineering unit focused on accelerating cloud modernization across R&D teams in the organization. The team operates as a force multiplier, taking on complex, high-priority, and high-value cloud initiatives that require deep technical expertise, fast execution, and strong cross-team collaboration.
You will lead initiatives from a technical front, designing, building, and validating modern cloud patterns, unblocking critical initiatives, and shaping solutions that other teams can confidently adopt. This is not a long-term feature delivery role; stakeholders and missions change frequently. Instead, you will operate in a mission-driven model, engaging where impact is highest, creating momentum, and handing over sustainable ownership to product teams once the mission is complete.
You will work closely with architecture, platform, security, and product teams to modernize legacy systems, introduce cloud-native practices, and raise the overall cloud maturity across the R&D organization.
Who you are
You are a seasoned Senior Backend Engineer with a strong sense of ownership and accountability. You are comfortable operating in fast-moving, complex environments and excel at turning ambiguity into concrete, executable solutions.
You bring deep backend, cloud, and architectural expertise, balancing long-term thinking with pragmatic delivery.
You embrace change and learn quickly, continuously adapting to new technologies, architectures, and organizational needs. You are curious by nature, proactive in closing knowledge gaps, and comfortable making informed decisions even when not all answers are known yet.
You thrive in cross-team environments, earning trust through technical excellence and clear communication. You influence design, implementation, and example rather than authority, and enjoy collaborating closely with product, architecture, security, and infrastructure teams to ensure alignment, adoption, and lasting impact.
You are impact-driven, not territory-driven, measuring success by how effectively you enable other teams and improve the organizations cloud capabilities as a whole.

As a Backend Engineer in the Pricing & Packaging R&D crew, youll help build our monetization platform from the ground up: pricing and packaging engines that power a global payments platform. Youll work end-to-end on features - from discovery and design through implementation, testing, deployment, and monitoring - using modern AWS-based technologies and leveraging modern AI tools, while maintaining best engineering practices and high quality. This is a chance to join early, influence how things are built, and grow with the team.
What youll do -
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams to understand business needs and translate them into technical solutions, covering full development lifecycle: discovery, design, implementation, code reviews, testing, deployment, and monitoring.
Design, build, and maintain backend services and APIs for pricing, packaging, and monetization flows, in Node.js and C# over relational and document-based databases (SQL, MongoDB), running on AWS, using containers and Kubernetes.
Write clean, maintainable, and testable code, following engineering best practices.
Integrate with message brokers (e.g., Kafka, SQS, RabbitMQ) to build robust, event-driven services.
Contribute to improving our CI/CD pipelines, observability, and production readiness (logs, metrics, alerts, dashboards).
Continuously learn and share knowledge with the team, contributing to a culture of excellence, ownership and continuous improvement while building each other up.

We are seeking for an Quality Engineer.
This role requires managing quality across programs in all aspects of quality, from contract review to program completion.
Responsibilities include participating in audits, preparing quality plans and monitoring their execution, leading and managing quality processes, conducting internal quality inspections, and preparing for and supporting external quality audits. Additionally, the role includes writing and updating documentation such as procedures, work instructions, reports, quality plans, and more.
Full-time position, Sunday to Thursday, located in Holon.

As a Senior Backend Engineer in the Credit Cards team, you will play a critical role in our Cloud transformation, re-architecting, building, and shipping our next-generation solutions, evolving the systems that power our card offering end-to-end, from card ordering and issuing to transaction processing and lifecycle management.
Location: Petach Tikva
Hybrid
Full-time
What youll do
You will be a core member of the Credit Cards engineering team, a high-impact unit responsible for the full card lifecycle, from ordering and issuing to limiting, managing, and monitoring card transactions. The team integrates with third-party payment processors, 3D Secure systems, and MasterCard, ensuring seamless, secure, and high-performance card operations for our customers.
You will lead technical initiatives across card systems, designing, building, and validating robust backend solutions that scale with business needs.
You will work closely with architects, security, product, and operations teams to modernize the existing card systems into a new event-driven architecture, introduce cloud-native patterns. Build it from scratch while ensuring that card business services remain reliable, secure, and performant.
Who you are:
You are a seasoned Senior Backend Engineer with deep expertise in backend systems and cloud architectures. You thrive in complex, fast-moving environments and excel at turning ambiguous requirements into concrete, reliable solutions.
You bring strong technical ownership and accountability, balancing long-term architectural thinking with pragmatic delivery. You embrace change, learn quickly, and continuously adapt to new technologies, business needs, and integration challenges with external partners.
You are proactive, curious, and confident in making informed decisions. You influence others through technical excellence and clear communication, collaborating closely with product, architects, security, and operations teams to ensure alignment, adoption, and lasting impact.

We are seeking a Senior Data Scientist to be one of the first data science hires for our newly formed ML team. This is a unique ground-floor opportunity to build our data science capabilities from scratch and have direct influence on our analytical and modeling approaches. This role combines advanced data science expertise with foundational contributions, requiring someone who can develop sophisticated models, conduct deep analytical research, and help establish the data science methodologies that will guide the team as we scale. As one of our founding data scientists, you'll work closely with our Tech Lead to shape our modeling approaches, define our analytical standards, and build the fundamental data science skill set for future hires.
What You'll Do:
Build foundational data science capabilities: As one of our first data science hires, work with the Tech Lead to develop core modeling methodologies, analytical frameworks, and research practices
End-to-end model development: Take ownership of complete ML model lifecycle - from initial research and experimentation through production deployment and monitoring
Build impactful models: Design, develop, and deploy machine learning models that solve complex business problems across payments, risk, and customer analytics
Define analytical standards: Help establish best practices for data exploration, feature engineering, model validation, and statistical analysis
Conduct deep research: Lead exploratory data analysis and research initiatives to uncover insights and identify ML opportunities across the business
Partner with stakeholders: Work closely with business teams to understand requirements, translate problems into data science solutions, and communicate findings effectively
Establish model development practices: Help set up our approach to model experimentation, A/B testing, and performance monitoring
Shape data science culture: Contribute to establishing the team's analytical rigor, documentation standards, and knowledge-sharing practices
Drive innovation: Research and evaluate new ML techniques, algorithms, and approaches that could benefit our business use cases.