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Join our company and become a key leader in building the most innovative endpoint security solution in the world. Our sensor development team is responsible for building the endpoint sensor which deploys on multiple platforms including Windows, Mac, and Linux. As a Software Engineer, you will be expected to have ownership over major components and development projects. You will be required to assist with architecting solutions and support in implementing our core features. Features will cross-cut most core OS subsystems such as file system, memory and process, and networking. Many features are also built in a way that they will have shared components across multiple platforms. You need to be able to lead projects efficiently while maximizing performance and minimizing costs, making sure high standards are being followed when it comes to design, coding quality, and unit and component testing.
What You'll Do:
You will be joining the Identity protection team that delivers detection and prevention of identity related incidents in the organizational network using the falcon sensor and cloud. You will work with an experienced team of capable developers and participate in establishing the Israeli R&D center of one of the most innovative and exciting software companies in the world today.
In this role you will be responsible for building an efficient lightweight sensor for Active Directory servers. You will participate in implementing the next generation of our companys world-leading Identity Protection technology.

We are looking for an Automation Engineer to join our Information Systems team and help build scalable, automated, and reliable integrations across our enterprise application landscape. You will work primarily with our iPaaS platform (Workato) to support cross-functional business processes and deliver high-impact automations.
Design, build, and maintain integrations and automations using modern iPaaS and AI-driven automation platforms.
Configure, deploy, and maintain integrations in Workato across enterprise systems (Legal, Product, Finance, Procurement, GTM, etc.).
Work closely with Information Systems engineers to design scalable cross-company data flows and integrations across our SaaS ecosystem
Build robust monitoring, logging, testing, and error-handling mechanisms to ensure reliability, observability, and high availability.
Integrate with external systems using REST APIs, webhooks, and OAuth/SAML/JWT authentication frameworks.
Produce and maintain high-quality documentation, including architecture diagrams, data flows, and technical specifications.
Collaborate with technical and non-technical stakeholders to understand business needs and translate them into scalable integration solutions.
Troubleshoot integration issues, perform root-cause analysis, and support continuous improvements in our integration architecture.

As a Senior Cloud Engineer in our Application Analysis group, you'll build the cloud infrastructure that powers our automatic reverse engineering engine - a system designed to analyze and comprehend software code through advanced code analysis techniques including static analysis, dynamic analysis, and data flow analysis.
What You'll Do:
You'll develop and integrate this engine into the Falcon platform, creating high-performance cloud services and data pipelines that process billions of requests daily from customers worldwide. Your work will involve leading complex projects from conception through deployment, making critical technical and architectural decisions, and developing modern production architecture at massive scale.
Working at our company's Israeli R&D center, you'll collaborate closely with experienced cybersecurity developers and our algorithm development team to integrate code analysis capabilities into the platform. You'll own your code end-to-end - from planning to development and testing to production rollout and scale-up - while working across a diverse technology stack to solve complex distributed systems challenges.
Tech Stack: Go, Kubernetes, Kafka, S3, Postgres, Redis, etc.
This is a Hybrid position open to candidates in the Israel area.

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our company's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.

About the Role:
Join our company and become a key leader in building the most innovative endpoint security solution in the world.
Our sensor development team is responsible for building the endpoint sensor which deploys on multiple platforms including Windows, Mac, and Linux.
As a Software Engineer, you will be expected to have ownership over major components and development projects.
You will be required to assist with architecting solutions and support in implementing our core features.
Features will cross-cut most core OS subsystems such as file system, memory and process, and networking. Many features are also built in a way that they will have shared components across multiple platforms. You need to be able to lead projects efficiently while maximizing performance and minimizing costs, making sure high standards are being followed when it comes to design, coding quality, and unit and component testing.
Joining our Data Security Product Group means you'll be instrumental in developing a comprehensive data security system. This system empowers customers to detect and investigate insider threats, monitor access and movement of sensitive data, and uphold regulatory compliance by reducing data leak risks.
What You'll Do:
Work on an emerging product with continuous growth, new feature releases and a rapidly growing customer base
Partner with fellow senior engineers in the development of the sensor, the lightweight our company agent, and its leading endpoint security capabilities
Own new features from design to delivery
Support development of cross-platform software (Windows & Mac)
Collaborate with multidisciplinary engineering teams across various locations to develop cross-team functionalities
Troubleshoot issues with the product as reported from customers responsively.

Required Software Engineer - Al Platform
About Us
We help modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, weve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies and over 1 Milion users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
What this role is really about
Were building our internal AI Platform as a foundation that enables safe, scalable, and cost‑effective AI across the company. Our mission is to support internal business units in becoming more productive and driving business growth. As a Software Engineer on Business Innovation (Internal), youll develop high‑leverage platform capabilities used by Product, Customer Success, Sales, Operations, Data, and IT. Youll work across the entire stack, from APIs and services to data and UI. transforming business requi
Build core AI platform services - Design and implement agent orchestration, prompt management, RAG, Connectors, and evaluation pipelines that power AI experiences across the company.
Develop complex agentic workflows - Develop a multi-step workflow that coordinates tools and services with proper observability, guardrails, and cost controls (using OpenAI Agent SDK, LangGraph, or a similar framework).
Build LLM evaluation and optimisation process -Develop evaluation harnesses, offline/online experiments, prompt-testing frameworks, and dashboards to balance quality, latency, and spend across all AI services.

our company Falcon Host is a two-component security product. One component is a sensor: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon Host cloud. The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.
The cloud component aggregates sensor telemetry for each customers network, correlates malicious behavior across multiple machines, and presents our customers operations teams with a prioritized summary of the threats detected in their environments.
This is a macOS Developer role in the engineering team that delivers data protection-focused functionality in the sensor (lightweight agent) on macOS. Engineers in the team own the design and development of core features on the platform. Data protection-focused functionality centers around file interfaces, including related Endpoint Security System Extension interfaces. The team operates under the Agile development principles and ships frequently.
What You'll Do:
Design and develop data protection-focused system extensions and associated services for deployment on macOS systems
Own features from design to delivery
Collaborate with multi-functional team in various physical locations
Troubleshoot issues with the product as reported from customers responsively
Other projects as assigned.

The ideal candidate will bridge high-level security governance with hands-on, automated security implementation across the Software Development Life Cycle (SDLC).
This individual will be a critical enabler, empowering teams to move swiftly and deliver exceptional value to our clients, all while upholding the required security standards. A proven track record in successfully balancing rapid innovation with robust security practices is essential for this role.
How youll make an impact:
As the DevSecOps Engineer, you will be responsible for creating a secure-by-design culture and leading the operational implementation of our security strategy. You will:
Build the Secure SDLC (SSDLC) Strategy: Develop, own, and execute the companys comprehensive DevSecOps strategy, focusing on automation to manage security at scale from code check-in to production deployment.
Lead Key Security Engineering Initiatives: Lead and manage security engineering programs, including:
Maturing the security tools stack (e.g., implementing WAF, and automating SCA/SAST tools).
Owning the bug bounty and responsible disclosure programs triage and remediation tracking.
Enhancing the Identity and Access Management (IAM) framework through concepts like Just-In-Time (JIT) and Zero Trust principles.
Operationalize CVE Tracking and Remediation: Design and implement a scalable system for discovering, tracking, and prioritizing Common Vulnerabilities and Exposures (CVEs) in third-party and custom code. Drive the engineering teams to achieve security risk remediation goals by providing clear, actionable data and automated patching mechanisms.
Measure & Drive Improvement: Develop and maintain key DevSecOps metrics (e.g., Mean Time To Detect/Remediate - MTTD/MTTR, percentage of code coverage by SAST/SCA tools) to measure the effectiveness of automated controls and provide a data-driven picture of the application security posture.
Embed Security Engineering: Spearhead R&D DevSecOps initiatives, partnering directly with engineering teams to select, deploy, and maintain security tools, establishing security gates and best practices throughout the product development lifecycle.

As an Experienced Full-Stack Engineer (Backend Oriented) in the Demand department in our Tel Aviv Office, youll play a vital role in our companys management platform, focusing on the onboarding experience to make a meaningful impact on the companys performance, while enabling advertisers to create and manage their ads with a strong emphasis on optimal user experience and performance.
How youll make an impact:
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of requests per second
Work on innovative projects that are the next growth engines for our company.

As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

As a Senior Release Engineer on the Infrastructure group, youll play a vital role in solving scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
How youll make an impact:
As a Senior Release Engineer, youll bring value by:
Solve scaling challenges in our build system, handling 8 million lines of code and 160,000 unit tests efficiently.
Drive best practices for DevOps, site reliability, and infrastructure scalability.
Build and support a self-service toolset to empower developers and streamline release processes.
Design, implement, and maintain CI/CD pipelines to ensure smooth, automated, and reliable software releases.
Develop scalable infrastructure as code (IaC) solutions to improve deployment efficiency and system reliability.
Enhance observability, monitoring, and logging to proactively detect and resolve performance issues.
Work closely with development to optimize release workflows and reduce downtime.
Manage and improve containerization strategies using Kubernetes, Docker, and related technologies.
Leverage Gen-AI tools to accelerate development velocity across all RnD.
Own the management of third-party libraries in our central Java code repository, ensuring seamless Spring and Java upgrades.

As Site Reliability Engineer on the IT Production team in our Tel Aviv Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.

As Solution Expert in the Professional Services group, youll work closely with our Engineering and Product teams, act as a knowledge hub and actively deliver exceptional new products to our global Professional Services group and customers.
The Solution Expert is responsible for enabling our Professional Services teams to successfully adopt and leverage our companyproducts to drive business impact. This role requires a deep understanding of the technical aspects of each product, coupled with the ability to communicate and translate that knowledge effectively to diverse technical audiences.How youll make an impact:
Own your technical domain by putting any effort required to make it successful
Work closely with our companys Engineering and Product teams on enabling new features/products for scale
Be the voice of Professional Services - Playing a pivotal role in the product lifecycle and its roadmap
Lead the enablement of new products - From Beta, to Limited Availability (LA) through to General Availability (GA)
Serve as the primary technical point of contact during early product rollout and stabilization. Take end-to-end ownership of new products and features.
Enforcing best practices across product operations to ensure consistency, efficiency, and scalability
Deliver, create and maintain in-depth product documentation and training for Professional Services and business teams
Owning and handling highly complex technical escalations coming from Professional Services and consulting on complex implementations/issues coming from clients (may require dev-to-dev calls with clients Engineering teams)
Monitoring product health and performance to identify issues early and analyzing the quality of service (delivery/support) provided to our customers
Managing bugs and feature gaps proactively to improve product health and user trust
Improving Professional Services efficiency through AI developments that streamline decision-making, automate repetitive tasks, and enhance operational visibility.

As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.