דרושים » תוכנה » Senior Windows Kernel Engineer - Windows Endpoint

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
What are we looking for?
We are seeking a highly skilled and passionate Software Engineer with a background in low-level programming and a strong understanding of complex infrastructure to join our Detection Infra team.
What will you do?
As a new member of our development team, you will work in the user mode of our Windows EDR product and handle a wide range of tasks.
You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems.
Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents.
Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint - Windows Endpoint, you will take end-to-end ownership of features from ideation to production, managing multiple teams within the Windows Agent Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.
What Will You Do?
Primary responsibilities include:
You will have the chance to manage an organization of 15+ engineers and team leads across multiple teams working on the Windows Agent, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will be tasked with designing and implementing low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Primary responsibilities include:
Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our companys next generation of data-centric security.
What will you do?
Design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment.
What will you do?
Primary responsibilities include:
Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence.
Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform.
Hands-on Development: Write high-quality, production-ready code.
Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it.
Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies.
Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability at our company. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.
What will you do?
Primary responsibilities include:
Advanced Analytics & Insights: Architect and maintain sophisticated data models that merge cloud billing data with customer usage metrics to drive deep-dive trend analysis and anomaly detection.
AI & ML Economics: Establish governance and unit-economic tracking for AI-related spend, including GPU utilization, LLM token consumption, and model training costs to ensure high ROI on AI initiatives.
Strategic Allocation: Design and govern complex cost-allocation frameworks (including Kubernetes and shared services) to ensure 100% accountability across product lines and engineering pods.
Cost Tracking & Accountability: Track and maintain critical cloud cost, identify increases and improve cost accountability across org.
Optimization & Commitment Management: Lead the strategy for Reserved Instances, Savings Plans, and CUDs across a multi-cloud environment. Proactively identify architectural rightsizing opportunities.
Forecasting & Capacity Planning: Build predictive models for cloud spend that account for customer acquisition rates, regional expansion, and product roadmap changes to safeguard company margins.
Cost Accountability: Improve cost accountability and mindset across org
Stakeholder Influence: Present quarterly business reviews (QBRs) to senior stakeholders, translating technical cloud complexities into clear financial impact.
Capitalization (CapEx) Reporting: Support the engineering capitalization process by correlating labor effort with project delivery data for financial compliance.

We are seeking a talented and experienced Software Development Team Leader. The candidate will have a passion for exploring new technologies and tackling complex challenges with a proactive mindset toward continuous improvement.
You will be an integral part of our highly skilled teams, designing and developing the core infrastructure of our companys leading product.
Development is primarily conducted in C and C++ within the Linux Kernel and User Mode. In this role, you will lead and manage large-scale distributed systems.
Join our global leader in securing the world!
Key Responsibilities
Lead a team that manages, designs, and implements new DPI and performance capabilities.
Take on increasing responsibilities, develop a strategic vision for the team, and take ownership of your contributions to the product.
Mentor and manage a diverse team of software engineers.
Collaborate with security experts, project managers, business units, and other teams across our company.
Provide ongoing support and enhancements to existing systems, customers, and code.

We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.

We're looking for an AI Engineer who is equal parts builder, enabler, and visionary.
This is a rare opportunity to join a small, elite team at the ground floor and have outsized impact on how AI is designed, built, and shipped across a globally recognized cybersecurity platform.
If you thrive at the intersection of cutting-edge AI research and real-world production systems and you want your fingerprints on something that matters - read on.
Why Join Us?
Greenfield opportunity - you're not joining a mature team with fixed patterns, you're helping define them.
Real impact at scale - your work will influence products used by thousands of organizations worldwide.
A team of great people - small, senior, and genuinely collaborative.
Freedom to innovate - we encourage bold ideas, fast experiments, and honest feedback.
our company's AI moment - AI is a company-wide strategic priority, and this group is at the center of it.
*we are an equal opportunity employer committed to diversity and inclusion.
Key Responsibilities
What You'll Do:
Build AI infrastructure - Design and develop the foundational tools, frameworks, and pipelines that power the group's AI capabilities, with a focus on LLMs and Generative AI.
Enable AI across the team - Act as the group's AI enablement engine: establish best practices, create internal tooling, and uplift teammates to work effectively with AI systems.
Own AI agents & agentic workflows - Design, implement, and iterate on autonomous agents and multi-step AI pipelines integrated with a variety of tools and environments.
Bring AI to production - Take models and capabilities from prototype to production-grade systems - reliable, scalable, and observable.
Shape the big picture - Contribute to the group's AI strategy, not just its execution. We want someone who asks "why" before diving into "how."
Stay ahead of the curve - Continuously research and evaluate emerging AI techniques, models, and tools - and bring what's relevant back to the team.
Collaborate and communicate - Write clearly. Think clearly. Work closely with researchers, engineers, and product stakeholders to align on goals and drive outcomes.

Were looking for a bright and passionate Senior Software Engineer to join our Access Clients team. In this critical role, you will design, develop and maintain core components of our Access Clients which are used by hundreds of thousands of users worldwide, on various households and enterprise environments. You will help taking the Windows Client to the next level of functionality and stability, developing core Service functionality as well as user-facing components.
Responsibilities:
Developing core components for C++ Windows Service and applications.
Working on the cross-platform C SDK library which runs on all major operating systems.
Researching new technologies.
Taking ownership on new features and leading collaborative efforts.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with quality assurance, technical support, product-management and other engineering teams to deliver integrated features.