We're building our company's 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 company ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Responsibilities
Shape and build our data lake architecture, orchestration layer, and data access patterns.
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 company platform.
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 looking for a Senior Data Platform Engineer to design, build, and scale our next-generation data platform, the backbone powering our AI-driven insights.
This role sits at the intersection of data engineering, infrastructure, and MLOps, owning the architecture and reliability of our data ecosystem end-to-end.
Youll work closely with data scientists,r&d teams, analysts to create a robust platform that supports varying use cases, complex ingestion, and AI-powered analytics.
Responsibilities:
Architect and evolve a scalable, cloud-native data platform that supports batch, streaming, analytics, and AI/LLM workloads across R&D.
Help define and implement standards for how data is modeled, stored, governed, and accessed
Design and build data lakes and data warehouses
Develop and maintain complex, reliable, and observable data pipelines
Implement data quality, validation, and monitoring frameworks
Collaborate with ML and data science teams to connect AI/LLM workloads to production data pipelines, enabling RAG, embeddings, and feature engineering flows.
Manage and optimize relational and non-relational datastores (Postgres, Elasticsearch, vector DBs, graph DBs).
Build internal tools and self-service capabilities that enable teams to easily ingest, transform, and consume data.
Contribute to data observability, governance, documentation, and platform visibility
Drive strong engineering practices
Evaluate and integrate emerging technologies that enhance scalability, reliability, and AI integration in the platform.

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.
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 looking for a Senior Backend Engineer to join our new Platform Infrastructure team.
In this foundational role, youll help build the shared backend systems, frameworks, and tooling that power every product across the company.
If youre passionate about solving hard technical problems, shaping internal architecture, and scaling best practices across teams - we want to hear from you.
Wake Up for This
Build for builders: Design and develop the backend infrastructure that other teams will rely on - from shared services and APIs to internal developer tools and performance optimizations.
Engineer at scale: Work across modern backend stacks, building reusable systems that balance flexibility with consistency.
Drive technical standards: Partner with tech leads, designers, and developers across the company to define best practices and guide architectural decisions.
Lead by example: Mentor other engineers, support their growth, and help raise the overall bar for backend quality and maintainability.
Create real impact: Your work will improve development velocity, code quality, and user experience for millions of creators and countless internal users.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

Were building the next generation of autonomous cybersecurity technology - systems that think like attackers to continuously uncover security gaps in enterprise environments.
As a Senior Engineer in our Attack Simulation Platform team, youll design and build the engines, data models, and intelligent agents that simulate advanced adversaries across large-scale networks. Youll combine strong software-engineering skills with deep security intuition to create systems that mirror human attacker behaviour and discover real weaknesses before attackers do.
The Responsibilities
Design and build AI-driven agents that emulate adversarial behaviours such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Model and simulate attack paths across complex enterprise environments (identity, endpoint, network, and cloud).
Collaborate with red-teamers, researchers, and data scientists to translate threat intelligence and real attack TTPs into executable logic.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.

Were seeking an experienced and skilled Data and AI Infra Engineer to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
A day in the life and how youll make an impact:
As a Senior Engineer, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.

Were seeking an experienced and skilled Data and AI Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data and AI infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

As we scale, we are looking for a Software Engineer to join the evolution of our Exposure Management core. You will be responsible for the high-throughput architecture that ingests and correlates data from hundreds of integrations and data sources. Your mission is to transform billions of raw data points into a unified asset inventory and an intelligent engine for security risk prioritization and remediation.
Our stack: Python, MongoDB, AWS, FastAPI, ECS, Celery
What you'll do​
Design and build an infrastructure to correlate multiple data sources and matching methods
Research and develop algorithms for asset discovery , and solve complicated identification issues
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform.