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This team is responsible for building and maintaining core cross-team product systems that serve the entire organization and enable fast, consistent, and high-quality development across multiple products.
The ideal candidate is a product-minded engineer with a strong technical background, who thrives on designing scalable and maintainable systems that empower teams and enhance user experience.
:bulb: This is a hybrid position based in Jerusalem, with at least 2 days per week in-office required. Our office is conveniently located in Jerusalem's Central Bus Station (across the street from the train station)
Responsibilities
Design and develop end-to-end features used across multiple products and teams.
Build and maintain cross-team systems that support scalability, reusability, and consistency.
Develop and evolve shared UI infrastructure and internal tools.
Collaborate with product and engineering teams to identify platform needs and deliver high-impact solutions.
Ensure code quality, scalability, and performance across all layers of the stack.
Write clean, testable, and maintainable code following best practices.
Provide occasional evening support (e.g., responding to Slack inquiries when needed).

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered.

The Role:
We’re looking for a skilled and curious Back End Developer to join our growing engineering team. In this role, you'll architect and build reliable, scalable services that power mission-critical fintech products - from payments and lending to compliance and blockchain. You'll collaborate closely with product, DevOps, and front-end engineers to design robust APIs, implement clean data flows, and solve complex performance challenges. Your work will shape how money moves securely across our infrastructure and directly support millions of users. This is a great opportunity to drive meaningful impact while learning and growing within a highly supportive and technical team.

Who You Are:

* A thoughtful engineer who balances technical excellence with product impact
* Comfortable across the full stack, with strong backend expertise and frontend awareness
* Detail-oriented and passionate about clean, scalable, and well-tested code
* Excited to collaborate and share your knowledge across teams
* Motivated by ownership, mentoring others, and building features that users love

What You’ll Actually Be Doing:

* Design, develop, and deliver scalable software modules and components
* Build backend systems using .NET, DotNet 6.0, SQL Server, RabbitMQ, Docker and AWS
* Plan, triage, and prioritize work across multiple priorities
* Share your knowledge with teammates and help mentor and guide partners

Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact

Next Step:
Hit Apply!

What youll be doing
As a BI Engineer on our team, you'll collaborate with talented professionals dedicated to pushing boundaries and creating advanced solutions. You'll also play a key role in pioneering the adoption of cutting-edge AI-driven tools and processes, proactively advocating for innovative solutions, LLM-based scripting, and efficient AI workflows. Your early-adopter mindset will be essential in shaping the future of data-driven excellence at our company.
Collaboration and Communication: Work closely with data analysts, data scientists, tech, finance and business stakeholders to understand their data requirements to build and deliver data infrastructure, reports and insights that meet their needs.
ETL Processes: Develop highly scalable complex data pipelines to integrate data from multiple sources, ensure that data is accurately extracted from source systems, transformed into the required format, and loaded into the data warehouse (DWH) (using DBT, Git). It also includes verification and monitoring of data quality (Elementary).
Implement GenAI solutions: As part of the job, you will implement new solutions and tools to improve the efficiency of the teams, support self-service for the users and provide insights easily, automatically and quickly.
Data modeling: Responsible for the model, design, implementation, maintenance and improvement of the data warehouses, as well as ensuring the integrity and security of data. Support users needs, including performance and monitor cost
Business Analytics Tools: Design and implement BI tools across the company. Troubleshooting and optimizing the tools and systems to improve performance. This includes ensuring that the reports and dashboards are running efficiently and meeting the user's needs (using ThoughtSpot, Hex)
Staying Updated with Industry Trends: Keep up with the latest trends and technologies in data solutions, analytics and business intelligence to ensure that our company stays ahead in leveraging data for business decisions. Continuously questioning assumptions, processes, and outcomes to uncover hidden opportunities or potential issues.

What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline - from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.