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Design, develop, and maintain high-performance Linux kernel drivers.
Collaborate with cross-functional teams to ensure seamless integration with Data-Path and other software components.
Stay updated with industry trends and emerging technologies to enhance the teams knowledge, especially in Linux and the Kernel domains.
Contribute to code reviews, architectural discussions, and knowledge sharing within the team.
Ensure high quality standards and business outcomes for our customers.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
We're looking for a Fullstack Engineer to join our growing R&D team and play an active role in building and scaling core components of our product. You'll work across the stack - React and TypeScript on the frontend, Python on the backend - owning features end-to-end
What You'll Do:
Spearhead feature development from requirements to delivery
Participate in all phases of the software development lifecycle within an agile framework
Maintain high standards for code quality, scalability, readability, and performance
Take ownership of the product, tech stack, and development processes.

Money is becoming software. That changes everything about how it has to be protected. Stablecoins, tokenized assets, and payments made by AI agents are moving real value at machine speed. Thats where our company comes in. We build the security technology behind how money moves. Coinbase, MetaMask, Uniswap, and many of the largest platforms moving money today rely on us to screen billions of transactions and stop fraud, scams, and hacks before they reach a single user.
Were backed by investors including Sequoia Capital, Ribbit Capital, and Cyberstarts, firms behind some of the biggest names in cybersecurity.
Were seeking an experienced Senior DevOps Engineer to design and operate scalable, secure infrastructure and provide hands-on guidance to development teams.
What you'll do:
Design, implement, and maintain highly available infrastructure on AWS and EKS.
Operate and secure Kubernetes environments, including workloads, networking, access controls, secrets, and cluster lifecycle.
Build and maintain reusable infrastructure using Terraform.
Develop secure and reliable CI/CD pipelines using GitHub Actions.
Improve developer experience through automation, self-service tooling, and efficient deployment processes.
Build observability using Datadog and OpenTelemetry, define actionable alerts, and support incident investigation and response.
Own infrastructure security across IAM, vulnerability remediation, CI/CD, software supply chain, and cloud configuration, using tools such as Wiz.
Improve platform reliability, performance, scalability, and cost efficiency.
Maintain our companys availability by participating in DevOps and security on-call shifts.

Harmony is the AI voice venture built inside monday.com. Our agents hold real phone conversations for businesses, and every one of those calls runs through systems we design and build ourselves: real-time audio pipelines, agent orchestration, telephony integrations, and the tools our customers use to build and monitor their agents.
We are a small team that ships fast. Engineers here own features end to end - from design through production - and work shoulder to shoulder with AI researchers turning models into product.
What youll do
Design and build backend services powering live voice conversations: low-latency, real-time, and reliable under load.
Develop the platform our customers use to create, test, and analyze their voice agents.
Integrate with telephony providers, CRMs, calendars, and the wider monday.com platform.
Turn research prototypes into production systems together with our AI scientists.
Own what you ship: architecture, code quality, observability, and performance.

Build the agent runtime and the LLM application layer that powers our company Agents - the ai-gateway that routes across Anthropic, OpenAI, and our own served models, plus tools, MCP, deep-research orchestration, and the App Builder codegen loop. You will turn frontier and owned models into product features people actually depend on.

Shape the developer-facing surfaces of our company- the CLI, dashboard, App Builder, and documentation. You will own full features from design to production across TypeScript, React, and Go.

Own the model plane end to end - vLLM inference, fine-tuning (GRPO/RL and LoRA), and the evaluation-and-promote pipeline that takes an owned model from checkpoint to production serving. We train and serve our own models on GPUs in our own cluster.

Own the surfaces developers touch every day - the company CLI, our SDKs, the Electron desktop IDE, and the docs. Make the path from zero to a deployed app feel effortless.

We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions - like demand forecasts - to drive revenue management decisions that actually move the needle.
At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market - weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies - to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.
You will lead the team through architecture decisions, development, and deployment of mission-critical systems-while growing and mentoring a high-performing team.
Responsibilities:
Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
Design, build, and maintain distributed data processing workflows (batch & streaming).
Drive best practices for data quality, validation, testing, and observability.
Own and evolve our data architecture in alignment with business and product goals.
Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
Contribute hands-on to key development tasks and architecture decisions.
Recruit, mentor, and grow the data science engineering team.

We are looking for Customer Support Engineer in our site in Netanya with a strong data background, who can provide ongoing support to our client while monitoring our production pipeline ensuring we deliver within the agreed SLA . You will be an essential part of the frontline support team responsible for providing prompt and efficient support and service to end-users experiencing technical issues with software. The primary responsibility is to ensure the timely resolution of data-related problems and to facilitate effective communication between end-users and higher-level support teams. The ideal candidate has relevant experience in data engineering. This role involves coordinating with various teams, managing schedules, and ensuring that production processes run smoothly and efficiently.
Work schedule:
The employee will be required to work 5 days a week, spread across the entire week, including Saturday and Sunday, with off-days during weekdays if shifts fall on weekends. The job is shift-based, with shifts occurring both during the day/evening/night and on weekends.
What You'll Do:
You will be responsible for maintaining and monitoring data pipelines that power our data science workflows while developing and maintaining production schedules.
Identify potential production issues and work proactively to resolve them.
Communicate any production delays or issues to relevant stakeholders and customers.
Maintain accurate records of production activities, including schedules, bugs and project status.
Coordinate with various departments (e.g., Data, DE, PO) to ensure timely completion of tasks.
Serve as the frontline support and provide prompt and efficient support to end-users experiencing technical issues with the platform.
Troubleshoot problems and offer effective solutions to maintain optimal user experiences.
Collaborate with other teams, including R&D and product management, to resolve customer issues.

We are looking for an AI & Data Consultant to join our growing practice
About the job
In this role, you will work with leading Israeli and global organizations, helping them define and implement AI-driven business and technology strategies. You will combine consulting, innovation, and technology expertise to drive AI adoption, digital transformation, and data-driven decision-making.
What you'll do:
Lead and support AI transformation and digital strategy projects.
Translate business needs and AI opportunities into clear functional and technical requirements, solution concepts, and actionable implementation plans.
Analyze business challenges and identify AI, GenAI, and data-driven opportunities.
Develop AI roadmaps, business cases, and strategic recommendations.
Conduct AI maturity assessments and technology evaluations.
Facilitate workshops and collaborate with business and technology stakeholders.
Stay up to date with emerging AI technologies, trends, and best practices.