דרושים » הנדסה » Windows Detection Engineering Manager

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, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Windows Endpoint 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 lead a group of 10+ engineers and team leads on the Windows Endpoint, 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 Senior Software Engineer, you will be tasked with exploring new technologies to design and develop innovative ideas from scratch in the Linux security domain. You will drive new detection capabilities and infrastructure at scale for our products, leveraging your deep technical expertise. We are looking for a talented individual who can turn complex security challenges into scalable, high-impact solutions.
What will you do?
Primary responsibilities include:
End-to-end responsibility for new detection capabilities, from researching Linux/Containers security landscapes to designing detection strategies and algorithms.
Designing and delivering innovative security solutions at scale.
Working on diverse technical challenges, ranging from low-level Kernel hooks to complex detection engines and pure system engineering.
Enhancing the security of various Linux and cloud workload platforms protected by our product.
Supporting a global impact, serving thousands of users, including enterprise, public sector clients, and some of the largest companies worldwide
Software Development (70-80% of time)
Conduct low level research and Design of new features
Peer code reviews; Participate in teams design review
Learn new technologies in the Linux and Cloud workloads security domain
Architect end-to-end security solutions for complex features with loose problem definition
Modeling and POC of solutions for complex problems
Support customers with issues and requests within the teams domain

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 - Linux Cloud Workload Security, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production within the Linux & Cloud Workload Security 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 lead a group of 10+ engineers and team leads on the Linux & Cloud Workload Security, solving the most complicated real-world problems.
You will continuously enrich your knowledge and experience with Linux OS architecture, kernel internals, and the Cloud Workload security landscape.
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 Staff Escalation Manager- Prompt Security, you will be tasked with leading and coordinating complex customer escalations, focusing on resolving complex issues and ensuring our customers receive timely, high-quality technical support as we scale our Generative AI security platform. We are seeking a highly collaborative, approachable, and customer-focused individual who will serve as the primary liaison between Technical Support, Product Management, Engineering, and Customer-facing teams, ensuring that high-impact issues are triaged quickly, prioritized correctly, and driven to resolution with clear and consistent communication.
What will you do?
The bulk of your time will be spent deflecting Jira tickets by providing solutions, KBs, and 1-on-1 training directly to the Support team. You will validate priority, review, and manage Jira tickets before engaging Development.
You will also perform trend analysis to identify top product defects and collaborate with the Documentation, Learning and Development (L&D), and Product Management teams to create and update knowledge. Code review may also be applicable, and suggestions for code improvements shared with engineering and Product Management.
For customer escalations, you will help engage the relevant stakeholders in internal and customer-facing conversations, and may lead those conversations from a technical perspective.
Key Responsibilities:
Develop key contacts and relationships with assigned product PM/Dev leadership.
Drive product supportability with PM/Development.
Share support knowledge through available channels (KB, training, videos etc.).
Trend analysis: Identify and track top impacting issues or product defects.
Manage communication and response to Backline Support (Jira).
Act as SME and be the focal point for assigned products.
Research the code to expedite the investigation.
Resolve Defects when possible.
Quality Assessment for Support Jira tickets.
Prioritize Jiras based on customer and support qualifications.
Work to eliminate duplication.
Deflect Jira tickets (Provide solution whenever possible).
Validate severity.
Maintain clarity and quality.
Prioritize and maintain escalations to Dev.
Create/maintain hot escalation board and review with relevant stakeholders.
Create/Maintain support Defects Kanban.
Communication - oversee response/information requests from Dev.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

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 an Engineering Manager to lead a cross-platform team within the Cortex XDR agent group. In this role, you will lead a group of talented engineers, making critical technical decisions and driving the team's priorities to build revolutionary security capabilities. You will own large projects, guide your engineers, and deliver impactful results in a rapidly changing environment, shaping the future of endpoint protection for millions of users.
Key Responsibilities
Lead, mentor, and manage a team of cross-platform engineers, guiding them through technical challenges, system design, and large-scale projects to deliver results.
Proactively collaborate and exchange information with Product, QA, and other stakeholders to improve processes and ensure successful project alignment.
Provide technical guidance and mentorship to engineers of all levels, fostering an environment of continuous learning and high-quality code delivery.
Take full ownership of product flows from a technical standpoint, partnering with Product Managers to define and deliver new features.
Focus on the customer by analyzing and resolving complex field-reported issues, reinforcing a customer-centric engineering approach.
Drive team growth by leading the hiring process for new engineers and fostering a positive, engaged, and motivated team environment.
Empower team members by providing regular, constructive performance feedback and creating opportunities for professional development.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.