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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 Microsoft Dynamics 365 Senior Developer to take the lead in building seamless, scalable internal systems that power our operations. This role is critical to deliver world-class experiences for both our teams and end users by configuring and integrating Microsoft Dynamics 365 CRM and the full Power Platform suite. You’ll have significant autonomy, working across Dataverse, Power Apps, Power Pages, Power Automate and the broader Microsoft ecosystem. Your work will directly support regulatory compliance, partner success, and internal workflows, reducing tech debt and improving user experience ?You’ll collaborate with peers across time zones, including some US hours overlap, while growing your technical abilities.

Who You Are:

* A proactive problem-solver who thrives in dynamic, collaborative environments
* A strong communicator, fluent in both Hebrew and English (written and verbal)
* Curious, tech-savvy, and driven to implement scalable, maintainable solutions
* Motivated by impact and continuous improvement

What You’ll Actually Be Doing:

* Configure and deliver business solutions using Microsoft Dynamics 365, Power Pages, Power Apps, and Power Automate
* Design scalable data models, security frameworks, and solution architectures within Dataverse and the Power Platform
* Customize Dynamics 365 applications, create automation workflows, and develop Power BI dashboards to support business processes and reporting
* Collaborate with business stakeholders, solution architects, and cross-functional teams to translate requirements into scalable platform solutions
* Evaluate and implement low-code/no-code solutions while balancing configuration and custom development to reduce technical debt
* Design and support integrations between Dynamics 365, Microsoft technologies, and third-party business applications
* Ensure best practices for security, usability, governance, performance, and platform scalability
* Support application lifecycle management, source control, and DevOps processes across Power Platform solutions


Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga, and Pilates
* A supportive, collaborative culture that puts our people first

Next Step:
Hit apply!

Join our dynamic engineering team as a Backend Engineer, where you will contribute significantly to the development of robust backend solutions and product innovations. If you have a passion for software engineering, enjoy tackling challenges, and view software development as an art form, you might be the perfect fit for our team.
What you'll be doing -
Backend System Development - Use cutting-edge technologies to develop and refine backend systems integral to our products functionality and user experience.
Product-Driven Development - Play an active role in a product-focused squad, contributing to projects that align with the companys vision and the products roadmap.
Engineering Project Participation - Take part in significant engineering projects, applying best practices in software craftsmanship to deliver high-quality solutions.
Technology Stack - Work with a broad range of technologies including Kubernetes, Kafka, RabbitMQ, Materialize, Postgres, Rust, Clojure, and Elixir to design and scale backend systems.
Collaboration and Integration - Collaborate with various teams within the company, contributing to essential microservices and APIs that underpin the product.
Backend Guild Engagement - Actively contribute to a backend guild that drives best practices, guidelines, and standards across the R&D team.

we are looking for a Backend Team Lead.
As a Backend Team Leader , you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.
Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.

we are looking for a MLOps Engineer.
As an MLOps Engineer, you will work at the intersection of backend engineering and machine learning, building the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features used by hundreds of thousands of families.
What you'll be doing -
Build Production AI Systems - Design and implement backend services and end-to-end AI solutions that integrate Deep Learning models, Computer Vision algorithms, and GenAI into real features.
Power Experimentation and Validation - Contribute to the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Develop Data Pipelines - Build and maintain scalable data pipelines and big-data solutions that feed AI capabilities reliably and with an eye on cost and scale.
Own What You Ship - Take features end-to-end within your squad, from planning and design through implementation, deployment, and monitoring in production.
Cross-functional Collaboration - Work closely with the Algorithms and Data teams to tackle complex, real-world problems, helping translate research into shippable, maintainable systems.
Backend Guild Engagement - Actively contribute to a backend guild that drives Software Engineering and System Design best practices, guidelines, and standards across the R&D team.

we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:

We're looking for a Scrum Master to implement and refine Scrum methodologies across our R&D organization, keeping teams focused, synchronized, and empowered to deliver. This role sits at the intersection of process and delivery - going beyond facilitation to continuously improve ways of working and promote predictable, sustainable delivery.
What Youll Be Doing -
Scrum Implementation: Lead the continuous refinement of Agile ceremonies (Sprint Planning, Daily Stand-ups, Retrospectives) across multiple cross-functional teams.
Transparency & Delivery Management: Promote clear and transparent communication of progress, risks, blockers, and delivery forecasts. Work closely with Product and Engineering to ensure alignment and effective information flow across stakeholders.
Dependency Management: Coordinate across Mobile, Backend, FW, QA, and AI teams to manage cross-functional dependencies, ensuring smooth hand-offs and high-frequency release success.
Roadmap & Quarterly Planning: Support the creation and maintenance of high-level roadmaps aligned with quarterly planning commitments. Ensure alignment between technical execution and business objectives.
Jira Management: Own and evolve the Jira environment by designing efficient workflows, automations, and reporting capabilities that support scalable R&D operations.
AI & Automation: Identify and implement AI-driven solutions to reduce manual effort and optimize team efficiency.
Drive Operational Excellence: Define, track, and communicate KPIs to drive continuous improvement in productivity and efficiency.

We're looking for an AI Security Researcher to join us and uncover emerging AI threats, derive detection logic, discover new attack vectors, conduct red teaming, and identify insider threats and misconfigurations.
What You'll Do:
Deep-dive into AI usage risks, including threat detection for chat platforms and AI agents.
Research emerging agent threats and LLM attacks, such as jailbreaks and prompt injection.
Conduct red teaming and large-scale experiments on AI agents, including quantitative experimentation and advanced result analysis.
Assess internal and externally-facing AI agents for security posture and risk exposure.
Evaluate and attack real-time defenses and runtime protections for AI applications.
Conduct research across cloud, web, and API security to uncover novel threats and attack vectors relevant to AI systems.
Partner with product and engineering teams to turn research findings into detection logic, guardrails, or product features.
Stay current on and contribute to industry frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) - potentially contributing back to the community.
Publish blog posts, give talks, and represent research at conferences.

We're looking for a sharp, strategic Product Marketing Manager to own the voice in the market. This is a high-impact, cross-functional role at the intersection of product, sales, and go-to-market at a moment when the security landscape is being reshaped by AI.
You'll translate complex capabilities from SaaS posture management to agentic AI security and non-human identity governance into narratives that resonate with security leaders. You'll build competitive programs that arm the field, shape how analysts and buyers understand emerging AI risk categories, and partner with Product and Engineering to ensure the market perspective drives what we build.
You'll be the connective tissue between what does and why it matters to buyers, to practitioners, to analysts, and to our own teams.

we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.

We are looking for a high-ambition engineer to join our team in Israel and own the
intelligence layer of our platform: the agents that analyze customer codebases, reason about
vulnerabilities, and produce remediations autonomously.
First and foremost, this is a senior software engineering role. You will design and build production services, write code across the stack, and own what you ship end to end - the AI agents are software, and you build the systems they run on. This is not a prompt-tweaking role: you will design multi-step agentic systems end to end - context engineering, tool design, orchestration, evaluation, and production monitoring - on a "zero legacy" stack (Python, Temporal, K8s, and frontier LLMs). We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.

we are looking for a Senior Backend Enginee.
As a key member of our backend team, you will act as a pragmatic builder who designs, builds, and operates the future of our platform from the ground up. We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.
Responsibilities:
Backend Development: Design and build high-performance services using Python, FastAPI, and asynchronous workers.
AI Orchestration: Develop and maintain complex agent workflows, including RAG pipelines and autonomous orchestration.
Infrastructure & DevOps: Own the full deployment lifecycle, including containerization and scaling workloads on Kubernetes (EKS).
Workflow Management: Utilize Temporal to ensure durable and reliable workflow orchestration.
Data Persistence: Manage PostgreSQL databases and write migrations using Drizzle ORM to support evolving platform needs.
Engineering Culture: Lead architectural discussions, participate in deep-dive code reviews, and drive incident response.

we are looking for a Lead Security Researcher.
You will lead security research. This is not a bug hunting role. Your job is to invent the approaches that become product capabilities: new ways to detect, triage, and remediate vulnerabilities using LLMs and program analysis, proven on real data before a customer ever sees them.
You own the path from idea to shipped capability. You form the hypothesis, build the proof of concept, measure whether it actually works, and partner with engineering until it is in the product. You also own the quality bar: the benchmarks and evaluations that decide whether what we ship is good enough to put in front of customers.
You will set the research agenda, not just execute one. As the team grows, you will shape how research works here.

We're looking for an experienced AI Engineer to join our core team and design, build, and implement the autonomous AI agents that power revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Explore and prototype cutting-edge AI techniques to tackle our hardest challenges
Architect and develop autonomous AI agents that intelligently eliminate vulnerabilities during container image generation
Collaborate with product and engineering teams to bring AI-driven features from concept to production
Monitor and evaluate AI model performance, implementing feedback loops to continuously improve accuracy and reliability
Develop and maintain machine learning pipelines that process security data and generate actionable insights
Ensure AI systems are robust, reliable, and performant at enterprise scale

We're looking for a Backend Engineer to join our core team and help build the foundation of AI-powered, CVE-free container security platform.
Responsibilities:
Take responsibility for platform and infrastructure, building the core backend systems and services that power our revolutionary container security solution
Take ownership of the backend architecture, tech stack, and development processes, driving technical decisions across our factory's core components
Work closely with cross-functional teams to deliver high-quality software and implement best practices in backend development, API design, and system architecture
Lead complex projects in close collaboration with Product Managers and other Software Engineers, from technical planning through execution and delivery

We're looking for our first DevOps Engineer to join our core team and establish the foundational infrastructure and practices that will scale revolutionary container security platform.
Responsibilities:
Design, implement, and manage scalable cloud infrastructure on AWS to support our security platform, using Terraform and other infrastructure automation tools
Lead the deployment and management of containerized environments and microservices using Docker and Kubernetes
Design and build robust CI/CD pipelines using modern tools and methodologies to support rapid, secure deployments
Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance
Work closely with engineering, product, and security teams to ensure seamless integration between development and operations