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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.

We are looking for a versatile, autodidact Senior DevOps Engineer - someone who learns fast, thinks laterally, and isn't afraid to pivot mid-stream when the mission changes.
You are independent and accountable, but you thrive in a collaborative ecosystem. If youre a service-oriented problem solver who views "infrastructure as code" as a craft, we want to talk.
What You'll do:
As a core member of our infrastructure team, you will bridge the gap between development and operations, ensuring our hybrid-cloud environment is seamless, scalable, and resilient.
Architect & Implement: Lead the design of hybrid-cloud solutions with a heavy focus on cloud best practices.
Own the Production: Take full accountability for production environments, ensuring 24/7 stability, availability, and performance.
Automate Everything: Replace manual toil with elegant automation using Terraform, Crossplane, and Ansible.
Bridge the Hybrid Gap: Maintain and optimize application layers across both cloud and private cloud environments.
Cross-Functional Partnership: Collaborate with Product, QA, and Dev teams to streamline CI/CD pipelines and remove delivery bottlenecks.
Resilience: Participate in a rotating On-Call schedule to keep our high-volume systems humming.

Required Senior Software Engineer, Infrastructure
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Software Engineer on the Infrastructure Engineering R&D group, youll play a vital role in developing one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day.
How youll make an impact:
As a Senior Software Engineer, youll bring value by:
Develop one of the largest real time high scale operation in the world to support over 1.4B users, >500,000 requests / second, 140TB of new data every day
Have end to end ownership: Design, develop, deploy, measure and maintain our services
Solve production issues in the framework code
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Here are some of the things software devs in our group did in the last several months:
Rewrote part of our recommendation servers to reduce serving time p999 by >40%
Rolled out custom Cassandra compaction strategy
Created and improved our Kafka consumer designed for very high scale
Developed a brand new metrics pipeline, ingesting over 100B metric messages per day
Anomaly detection engine for application metrics
Rolled out a new custom home-built authentication service
Many more things
Our Tech Stack:
Java, Spark, Kafka, Hadoop, Cassandra, Vertica, MySQL, HDFS, BigQuery, Docker, Linux, Kubernetes, Prometheus, Metrictank, Grafana, Airflow, Redis.