We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Dream-Maker Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.

Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.

Who are you?
You are a seasoned backend or data engineer with experience working on production-grade ML/AI-powered products. You thrive in fast-paced, high-ownership environments and are passionate about building scalable and reliable systems. You understand the unique requirements of delivering AI/ML features in production, and you are comfortable working with modern technologies in the LLM/RAG ecosystem.
You pride yourself on delivering high-quality solutions quickly, without sacrificing design or reliability. Youre known for your responsiveness, collaborative spirit, and service-oriented mindset-especially when youre on-call and the stakes are high.How will you contribute?
Design, implement, and maintain scalable and reliable data pipelines and backend systems supporting both operational and analytical needs, with a focus on ML/AI product enablement.
Ensure data processing is optimized for speed, efficiency, and fault tolerance, enabling seamless integration with AI/ML workflows and reliable performance across all our Health products.
Monitor and improve uptime, reliability, and observability of our data infrastructure and pipelines.
Build and maintain systems to ensure data quality, consistency, and usability across the organization, enabling advanced analytics and AI solutions.
Work closely with product and engineering teams to deliver new features rapidly and with a high standard of technical excellence.
Drive innovation in how we build, measure, and optimize data features, backend services, and AI product integrations.
Participate in on-call rotations with a service-oriented approach and fast responsiveness.
Lead scalability efforts to support increasing data volumes, expanding AI/ML initiatives, and new product launches.

We are currently expanding our R&D center in Tel Aviv, where we are building advanced data systems, automation infrastructure, and intelligent workflows that power our products and enable the next wave of innovation in advertising technology.

This role focuses on building reliable data systems and automation infrastructure, while helping us introduce AI-driven and agentic automation capabilities that improve how our engineering and data platforms operate.

What You Will Do
Design and build backend services using Node.js and TypeScript
Develop and maintain data pipelines and automated workflows
Work with Snowflake, MongoDB, and large datasets
Improve reliability and performance of data processing systems
Build and maintain automation infrastructure that supports data and platform operations
Design systems that help automate engineering and data workflows
Write unit and integration tests for backend services and workflows
Collaborate with analysts and product teams to translate complex workflows into scalable systems
Participate in improving engineering standards, testing culture, and development practices
Drive the next generation of automation across the platform by designing AI-driven and agentic workflows that enhance how our engineering and data systems operate
Your Day-to-Day Work
Developing backend services and APIs
Optimizing queries and data processing workflows
Building reliable systems for processing large-scale data
Designing and implementing automation processes across data and engineering workflows
Supporting AI-driven and agentic automation initiatives across internal systems
Writing automated tests to ensure system stability
Collaborating with engineers in Israel and global teams

We are looking for a Senior Backend Developer to join our engineering team. You will focus on developing and maintaining the server-side logic and infrastructure that power our innovative applications.

Who are you?
This is an opportunity to build foundational systems that directly impact how healthcare providers deliver care. Your work will power the platform that thousands of clinicians rely on daily, combining technical challenges with meaningful real-world impact.

How will you contribute?
Audio Processing Pipeline - Design and scale our audio processing infrastructure to handle high volumes with low latency and maximum reliability
LLM Integration & Production - Partner with Data Scientists to instrument, deploy, and operationalize Large Language Models in production environments
Backend Platform - Lead platformization efforts to create abstractions, tooling, and frameworks that elevate backend development across the organization
Modern Tech Stack - Build with Python, FastAPI, Kafka, and Airflow while helping shape our technical evolution
Company-Wide Initiatives - Drive high-impact projects that define product capabilities and technical direction

We're looking for a Senior Backend Engineer to join our Platform team in Tel Aviv. You'll build the infrastructure that powers our entire engineering organization, accelerating how our teams ship features that millions of customers rely on. This role is perfect for someone who loves solving complex distributed systems challenges and creating tools that make other developers' lives better.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Build core platform services that support all our development teams across web, mobile, and backend systems
Design and maintain robust APIs for distributed microservices architecture using TypeScript, with Rust experience as a major plus
Collaborate with staff engineers and tech leads to establish platform standards, patterns, and best practices across the engineering organization
Own service stability and communication between systems, implementing both synchronous and asynchronous patterns at scale
Drive developer efficiency initiatives by creating tools, frameworks, and infrastructure that eliminate friction for product teams
Work hands-on with AWS infrastructure including Kafka, RabbitMQ, EKS, SQS, Lambda, and infrastructure-as-code tools like Pulumi
Partner closely with DevOps teams to ensure seamless deployment, monitoring, and scaling of platform services.

Required Senior Backend Engineer- XP Platform team
What youre applying for
We're building the Experience Platform that powers everything - the backbone that lets our teams ship fast, scale seamlessly, and focus on creating incredible experiences for millions of customers. As a Senior Backend Engineer, you'll architect solutions that make other developers' lives easier while pushing platform boundaries. You'll own our chat service that handles onboarding flows for every customer.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Own platform services that let product teams ship features in days, not weeks
Build TypeScript/NestJS microservices that handle millions of customer interactions on Kubernetes
Partner with product teams to deliver the infrastructure they need to move fast
Level up our development experience using autonomous tools that handle everything from environment setup to production deploys
Lead architectural decisions that impact how we build, deploy, and scale products company-wide
Collaborate across product, design, and data teams to bring complex features from concept to launch
Drive platform reliability improvements that directly impact customer experience.

we are revolutionizing maritime operations with cutting-edge computer vision, augmented reality, and autonomous technologies. Our mission is bold: make ocean shipping safer, more efficient, and significantly greener.
From real-time navigation assistance to AI-driven insights that reduce fuel consumption and prevent collisions, were building a future where ships sail smarter. Join our growing team and help shape the next generation of intelligent maritime systems used by leading fleets across the globe.
The Role
Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
What Youll Do
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex features-from concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with quality-writing clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are looking for a passionate Senior AI-Native Backend Engineer to join our small, high-caliber team. You will design, develop, and deploy the core systems behind our real-time bidding engine - a Go-based service that processes over 2 million requests per second, running a multi-step pipeline of campaign selection, ML prediction, and bid calculation, all within single-digit milliseconds. You'll also build and maintain the surrounding infrastructure: data pipelines, configuration systems, ML serving layers, and internal tools - working across Go and Python in a microservice environment.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but hungry to learn and have outsized impact - wed love to have you on our team!
Design & build backend services of a cutting-edge consumer-facing product, designed to compete at the highest level with the worlds leading tech companies.
Work closely with data scientists and developers to understand the business from top-to-bottom and identify new modules that could turbocharge company processes
Improve our user-facing modules and tackle diverse issues like solving worldwide caching and optimizing page performance
Work on features that bring real-time data, analytics, and machine learning directly into the product, shaping how users interact with AI-driven functionality at scale.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

We are looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, well provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to our work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial-our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
Youll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML-building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
Designing and building the data-heavy components of our ML infrastructure, allowing our models to make billions of real-time decisions every year.
Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
Optimizing the "Feature Store" concept-ensuring that the data used for training matches the data used in production for real-time serving.
Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.

Join our fast growing team, and help put the power of automation in the hands of every security professional.
About the Role:
As a Senior Platform Engineer (Backend), you will play a key role in shaping the core infrastructure and architecture of our platform. You will be deeply involved in hands-on development, contribute to technical design, and help drive engineering excellence. In this role, you will collaborate with other engineers, share best practices, and take part in building scalable, high-quality backend systems.
Your responsibilities:
Design, develop, and test cloud-native microservices and backend components with high standards of scalability, reliability, and security
Own key areas of the platform's infrastructure and contribute to the architecture of enterprise-grade systems
Collaborate with engineering and product teams to translate business needs into robust technical solutions
Work across a modern tech stack including cloud services, Linux, Docker, Kubernetes, and CI/CD pipelines
Drive best practices in code quality, system design, observability (logs, metrics, tracing), and testing
Stay up to date with emerging technologies and help evaluate tools that support platform evolution
Share knowledge through code reviews and technical discussions, fostering a culture of continuous improvement