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We are looking for a talented Automation Engineer to join our team.
As a team, we are focused on delivering high-quality, scalable infrastructure and backend features.
In this role, youll be responsible for developing and maintaining automation tests and infrastructure, while also contributing to MANUAL QA efforts when needed. Youll collaborate closely with developers, product managers, and QA professionals to ensure the reliability and performance of our systems.
What Youll Do:
Develop and maintain automation tests and infrastructure to support backend and data -intensive features. Be responsible for performance, system, and correctness tests for the team. Expand automation TEST coverage across multiple components and environments. Participate in manual testing efforts when needed, especially during regression cycles or critical releases. Collaborate with developers, product managers, and other QA engineers to ensure seamless workflows and high-quality deliverables. Participate in code reviews and provide feedback on quality and performance-related issues. Be an integral part of grooming, retrospective, and sprint planning meetings to help shape priorities, improve processes, and ensure team alignment. Stay current with industry trends and best practices in automation and Quality Assurance.

Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are seeking a talented data Scientist to join our team. In this role, you will develop and implement ML models to support risk assessment and decision-making processes. The ideal candidate combines strong analytical skills with practical experience in building and deploying Machine Learning models in a financial or fintech environment. Responsibilities:
* Develop, validate, and implement Machine Learning models (Regression, Classification, Supervised/Unsupervised).
* Analyze large datasets to extract insights and support decision-making.
* Collaborate with cross-functional teams to integrate models into production systems.
* Apply Gen-AI techniques where applicable to enhance model performance.
* Document model development processes and results.

We are seeking a Data Engineering Lead to own and scale data platform infrastructure

Build our new data Lakehouse to support various product and business needs
Support cutting-edge AI Agents and cybersecurity use cases
Be part of the Data and AI Algorithms group
Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
Ensure the availability, reliability and quality of our data infrastructure
Help define best practices for data modeling and orchestration at scale

This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.



Responsibilities:

Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

We are seeking a seasoned Architect to design and build scalable, robust systems from end to end. Our system handles various ML and DL models, processes 100+TB of new data daily, supports hundreds of millions of daily active users, and manages billions of requests per day.

The successful candidate will implement cloud architecture best practices on AWS, lead the deployment of machine learning models in this high-scale real-time environment, and collaborate with cross-functional teams to ensure seamless integration and top performance.

Responsibilities:

Design and architect scalable, robust systems from end-to-end
Implement best practices and creative solutions in cloud architecture on AWS
Lead the deployment of machine learning models into a production high-scale real-time environment
Work closely with back-end, front-end, data engineering, ml-engineering, data-science teams to ensure seamless integration
Drive discussions and provide guidance on architecture best practices, mentoring other team members when necessary
Assess and address technical risks and potentials
Review code for quality, performance, and scalability
Collaborate with stakeholders and product managers to translate business needs into system architecture

We are looking for a Machine Learning Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.

As a Tech Lead on the ML team , you will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle managementthe foundation of our product.

Responsibilities:

Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store centralizing feature engineering and serving across teams.
Vector Databases enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

As a Backend Engineer , you will take on exciting challenges, including researching new algorithms and probability models, developing systems from scratch, and working in a fast-paced real-time environment. You will also build services that leverage real-time buying data to dynamically optimize campaign configurations, ensuring we achieve the most effective outcomes for our clients.

Collaboration is key in this role. You will work closely with data science and product team, requiring both technical expertise and a deep understanding of the domain. In addition, you will integrate with 3rd-party platforms.

you will own your tasks from top to bottom, with the freedom to learn, innovate, and sharpen your skills alongside an exceptionally talented team. We value a hunger for growth, hard work, and collaboration.

Responsibilities

Design, code, and manage large-scale, highly available, real-time (low latency) services using cutting-edge technologies (Python, Node.js, Redis, Docker, built on AWS infrastructure).
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems
Design and develop APIs or integrate with 3rd party APIs
Performing code reviews with other team members
Assist in-house teams and supply creative solutions for various problems
Understand and implement security and data protection needs

We are looking for a passionate and talented AI Engineer to join our mission - leveraging Generative AI (GenAI) to power smarter healthcare, enhance clinical insights, and accelerate the adoption of transformative technologies across the organization.

Job Description

As an AI Engineer at Eitan Medical, you will be part of a team committed to bringing life-changing innovation to patients and clinicians. You will lead the integration of Generative AI into our Insights platform, helping transform complex medical data into actionable insights that support better clinical decisions, personalized treatments, and improved patient outcomes.

In parallel, you will drive AI adoption across internal departments, enabling digital transformation, operational efficiency, and intelligent automation that empower teams company-wide.

This is a highly cross-functional role, collaborating with data engineers, data analysts, product managers, and full-stack developers to build and deploy impactful, scalable, and responsible AI solutions.

We are seeking someone curious, self-driven, and forward-thinking - a technologist who stays ahead of industry trends and actively identifies opportunities to bring cutting-edge

As an AI Engineer at Eitan Medical, you will play a vital role in integrating Generative AI technologies into both our SaaS healthcare platforms and internal business operations. Your work will directly contribute to improving clinical decision-making, optimizing treatment pathways, and enabling intelligent automation that enhances patient outcomes and operational efficiency.

You will collaborate closely with data engineers, data analysts, product managers, and full-stack developers, turning cutting-edge AI concepts into production-ready solutions that drive real-world impact.

This role is ideal for a curious, self-driven technologist who thrives on staying ahead of industry trends, identifying opportunities for innovation, and applying the latest AI technologies responsibly and effectively.



Key Responsibilities

Integrate Generative AI (GenAI) capabilities into Eitans SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights.
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation.
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar.
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior.
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts.
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact.

We are seeking a talented AI Engineer to join our dynamic team and help build cutting-edge AI-powered applications. You'll work at the intersection of modern web development and artificial intelligence, creating intelligent solutions that leverage the latest in AI frameworks and cloud technologies.

Responsibilities
What Youll Be Doing

Design and develop AI-powered applications using LangChain and LangGraph frameworks
Implement and optimize Model context protocol (MCP) integrations for AI agent workflows
Create sophisticated prompting strategies and prompt engineering solutions
Build robust backend services using Node.js and NestJS
Design and manage data pipelines with MongoDB and Redis for caching and session management
Collaborate with cross-functional teams to integrate AI capabilities into existing products
Research and implement emerging AI technologies and best practices
Optimize AI model performance and cost-effectiveness
Write clean, maintainable, and well-documented code

Youll design and optimize the architecture that keeps our data reliable, accessible, and ready for advanced analytics and AI-driven features. At OX Security, were continuously expanding our Application Security capabilities and with AI at the core of our evolution, were reimagining how data is structured, stored, and leveraged across the organization.





Responsibilities
What Youll Be Doing

Design and implement scalable data architecture solutions.
Collaborate with engineers and Research analysts to meet organizational data needs.
Ensure data integrity and quality in all data processes.
Develop and maintain data models and schemas.
Optimize existing data systems for performance and scalability.

Were looking for an experienced and curious Cloud Security Researcher to join our Security Research team and help us push the boundaries of what cloud security can achieve. This is a high-impact role where youll explore new attack surfaces, uncover blind spots, and help shape cloud capabilities and research strategy.

Responsibilities
What Youll Be Doing

Lead deep-dive research projects into cloud environments, services, and misconfigurations
Identify and explore security gaps across major cloud providers (AWS, GCP, Azure)
Collaborate with Product and Engineering teams to turn research into productized features
Conduct offensive simulations to validate risks and their business impact
Communicate findings internally and externally through reports, whitepapers, or talks
Take active part of the ideation process and prototyping of new features and product offerings

we are seeking a highly motivated Experienced Medical Data Analyst to join our Solutions Team, a dedicated group supporting steady-state clients on the technical side.
The team ensures smooth operations, investigates and resolves issues, and drives compliance and client satisfaction through collaboration with cross-functional teams.
This role is ideal for someone with a strong analytical background who thrives in fast-paced environments, enjoys tackling complex problems, and wants to make a real impact in healthcare technology.
Responsibilities:
Investigate and resolve client-related technical and data issues end to end.
Analyze medical documentation and audits to identify patterns, errors, and improvement opportunities.
Collaborate with product, engineering, and operations teams to design and implement effective solutions.
Develop and automate tools and processes to enhance efficiency.
Communicate proactively with stakeholders to ensure long-term client satisfaction.

Were seeking a Staff Backend Engineer to expand and harden the core of Axioms platform. Youll work at the intersection of identity, security, and infrastructure, designing and delivering features that directly impact how Developers, Security, and Operational teams control access at scale.

This is a hybrid role based in Tel Aviv, where youll collaborate closely with engineering, product, and design to take features from concept to production quickly, securely, and at scale.

What youll be doing

Design, develop, and optimize backend services that are performant, secure, and resilient
Own end-to-end delivery of features: from design to deployment to monitoring
Architect microservices and event-driven workflows in Go and AWS
Collaborate across teams to transform ideas into production-ready systems
Continuously improve scalability, reliability, and developer experience
Mentor engineers and contribute to engineering culture through reviews and discussions