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We are looking for a skilled Malware Reverse Engineer to join our group. In this role, you'll analyze emerging cyber threats, dissect sophisticated malware families, and transform your technical findings into actionable insights.

In-depth analysis and understanding of payroll legislation, implementation of collective agreements, individual agreements, and complex employment arrangements.
Characterization of technological payroll interfaces with external parties (statutory and others).
Translation of regulatory and business requirements into system calculation logic and the construction of workflows.
Characterization of payroll system automation and upgrades, including the implementation of new components and process automation.
Development and execution of validation tests and controls for payroll calculations and integrative processes, identification and analysis of potential issues, and recommending necessary system improvements.

Serve as the main technical integrator between engineering disciplines, including Hardware, Embedded Software, Full-stack Software, Algorithms, RF, and other relevant domains.
Lead system-level definition and architecture of complex multidisciplinary products and features and translate product and operational needs into clear system requirements.
Drive cross-disciplinarity technical decisions, architectural trade-offs, and resolution of system-level issues.
Ensure consistency between system requirements, detailed design, implementation, integration, and verification.
Identify technical risks, gaps, interfaces, and dependencies and drive them toward resolution.
Lead system integration, troubleshooting, verification, and validation activities.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

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 in the Detection Platform group, you will be responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will participate in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.

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 Technical Support Engineer, you will be tasked with being a key contributor: analyzing complex customer issues, driving our cross-organizational projects, building tools that will help improve productivity, driving innovation, and more. We are seeking someone with a proven track record on a variety of platforms, focusing on Mac, Linux, K8s, cloud, mobile and AI.

ELECTRICAL ENGINEERING STUDENT (RF AND COMMUNICATION SYSTEMS)
Operating complex technological systems in operational activities
Managing the technological operation in operational activities
Operating and maintaining technological systems in the SIGINT field
Testing, installing, training, implementing, and maintaining the aforementioned systems
Accompanying cellular projects and managing the operational aspect of the project
Planning and conducting experiments with technological systems in the SIGINT field.

Design and implementation of MCU software for operational electronic systems, including:
Low-level drivers for a wide range of sensors and peripherals
Communication stacks over a variety of interfaces
RTOS-based multi-threaded/multi-state system logic
Efficient implementation of real-time algorithms
Optimization of system power/energy states
Debugging using oscilloscopes, logic analyzers, and JTAG/SWD tools
Collaboration with hardware teams and development of hardware bring-up software for custom boards
Proof-of-concept (POC) work ands evaluation of new MCUs for integration into future projects
Working as part of a team, performing code review and mentoring of junior engineers.

Our ASP Development Team is seeking an SAP ABAP Developer. We are looking for a skilled SPA ABAP Developer to develop, enhance, and maintain SAP solutions that support core business operations across a large-scale enterprise environment. This role requires strong SAP ABAP development expertise, experience working within SAP ECC environments, and the ability to collaborate closely with functional consultants.
עוד על התפקיד
Develop, enhance, and maintain SAP ABAP programs, reports, interfaces, forms, and enhancements.
Collaborate with SAP functional consultants to analyze business requirements and deliver technical solutions.
Support ongoing projects, system improvements, and troubleshooting activities within SAP ECC environment.