לוח משרות דרושים, לחיפוש זה נמצאו 34,782 משרות

Planning, managing, and executing cyber assessments to ensure regulatory compliance and secure the network operations of entities under the organization's responsibility.
Key Responsibilities
Responsible for identifying and mitigating cyber risks through risk surveys, audits, and technological assessments.
1. Risk Identification and Mapping: Examining and mapping network architecture, assets, processes, and security control.
2. Technological Validations: Performing technical tests to verify the effectiveness of security controls.
3. Damage Potential: Analyzing the correlation between threats, vulnerabilities, and controls, and assessing their impact on the organization's overall exposure level.
4. Professional Opinion: Providing evidence-based recommendations.

In this role as ISV Partner Development Manager, Europe South, you will lead a talented team of Partner Development Managers across diverse markets in Europe South, including Spain, Italy, Portugal, Türkiye, Greece, Cyprus, Malta, and several Central and Eastern European countries. You will help major software development companies accelerate innovation and drive mutual success by deepening their adoption of our cloud and artificial intelligence solutions. You will guide your team to manage complex business‑to‑business relationships, foster a culture of trust and support, and operate confidently in a fast‑changing business environment.

This will be your opportunity to apply a balance of commercial and technical capability to help partners build differentiated solutions on Azure and artificial intelligence platforms. You will lead and develop a high‑performing regional team, make difficult decisions to drive transformation when needed, and ensure alignment to the Europe South organizations ambitious goals for Azure and partner‑led growth. Your leadership will be fundamental to driving ISV momentum as a critical engine of cloud revenue and long‑term customer value.

Responsibilities
Partner portfolio leadership and optimization - You will establish long-term partner recruitment strategies and expand current partnerships to create a balanced high-performance portfolio, grow business, and anticipate or fill market opportunities.
Strategic Vision and Value Partnering / Strategic Alignment - You will lead your team in the creation of a strategic vision, creating and executing business plans that ensure alignment between the overall value of our and the Partners business goals. You will coach and challenge your team to land the partner business plans with partners senior leadership.
Partner Sales Leadership - You will act as sales manager and coach the team through pipeline and opportunity management, following our internal sales methodology. You will build a rhythm of business to ensure sales execution with partners in collaboration with our internal teams. You will coach teams through resolving blockers to accelerate sales and act as the escalation point for complex situations.
Market Insight and Business Opportunity - You will lead and challenge your team to identify top opportunities to pursue with partners incorporating your expertise, market insights, and deep knowledge of the competitive landscape ensuring your teams position as the industry leader.
Executive Relationship Building - You will guide your team to develop deep relationships with complex partners and provide training and coaching to ensure your teams maintain an understanding of partner and our priorities and goals. You will be the executive sponsor for top partners and spend more than 50% of your time with partners and customers.
Career Development -You will be focused on the development of your team, leveraging resources to help employees grow skillsets, encourage mentorship, and support their career interests. You will be an expert at workforce development, and succession planning, identifying growth opportunities, building development plans with direct reports, and conducting development discussions.

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 Security Researcher- Detection AI Research, you will be tasked with joining the Detection AI Research team, where security research meets machine learning. We use EDR telemetry from millions of endpoints to hunt for sophisticated, highly evasive attacks and to close the coverage gaps they expose, using ML models and LLM-based agents that we design, build, and run in production. As a Senior Security Researcher in our AI Detection research team, you will bring the attacker's-eye view: which techniques matter, how they look in endpoint data, and what separates a real intrusion from benign noise at scale. You will work alongside the data scientists who build our models, and your detections will reach real customers through Wayfinder analysts, threat hunters and detection engines.

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.