לוח משרות דרושים הייטק תוכנה משרה מלאה

We are hiring for a Principal/ Senior Backend Engineer to join our fast-paced KSPM (Kubernetes Security Posture Management) team in Cortex Cloud, located in our TLV office. Cortex Cloud is our company's next-generation cloud security solution.
In this role, you'll be key in developing and scaling the core parts of our KSPM solution. Our team's goal is to help Cortex Cloud customers understand and fix security issues in their Kubernetes workloads across all major cloud providers.
The ideal candidates are software engineers with a "can-do" attitude and a passion for solving real customer problems. You should be a person who wishes and is able to work closely with the team and our partners across Cortex Cloud to make decisions and drive features end-to-end.
For us, caring about people is not a slogan; we are looking for individual contributors who enjoy and want to work with great people and collaborate on delivering business value across PANWs vast customer portfolio.
Your Impact
End-to-end backend development of features and core components across the software development life cycle (design, develop, test, deploy, maintain)
As a principal software engineer, independently drive and collaborate with others to deliver high impact features in the KSPM domain
Work with customers and provide solutions to their day-to-day work and challenges
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions.

As a Principal Software Engineer on the Cortex Platform team, you will be part of a group with the mentality and independence of a startup, backed by the power of a successful corporation. You will be instrumental in designing and building a massive-scale infrastructure that supports billions of events per second. Your work will involve storing, processing, and visualizing data to collaborate with the industry's leading cyber products and deliver unparalleled security insights.
Key Responsibilities
Own the end-to-end software development lifecycle, from requirement analysis and design through to development, deployment, and ongoing support.
Architect, design, and develop highly scalable, distributed backend services capable of processing billions of events per second.
Proactively collaborate and exchange information with cross-functional teams, including product management and other engineering groups, to ensure alignment on goals and deliverables.
Drive technical innovation by proposing and implementing new ideas and initiatives, transforming concepts into tangible product features.
Ensure high standards of code quality, performance, and reliability through rigorous code reviews, automated testing, and proactive system monitoring.
Mentor and empower other engineers on the team, sharing knowledge of best practices in software design and cloud technologies.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Code Generation and LLMs reasoning with specific focus on reinforcement learning, synthetic data generation and advanced scaffolding/agentic techniques. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
AI Research Scientist Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in agentic code generation
Work towards long-term ambitious research goals, while identifying intermediate milestones
Directly contribute to experiments, including designing experimental details, implement reusable code, running evaluations, and organizing results
Contribute to publications and open-sourcing efforts
Mentor other team members. Play a significant role in healthy cross-functional collaboration,

We are looking for a technically-oriented Engineering Manager to lead a high-performing team focused on detection and analytics. This is ideal for someone who is passionate about people leadership but doesnt want to walk away from the code entirely. You will balance leadership/management with hands-on technical contribution, ensuring our microservices architecture remains robust and scalable on Google Cloud.
Key Responsibilities
Drive Execution & Delivery: Take full ownership of your team's software development life cycle. You will manage sprint planning, ensure high-velocity execution, and deliver critical features on time in a fast-paced Agile environment.
Lead & Empower: Directly manage, mentor, and grow a team of talented backend engineers. You will conduct 1-on-1s, guide career development, and foster a culture of continuous learning and high performance.
Shape the Architecture: Act as a technical sounding board for your team. You will guide technical design discussions, review architectures, and ensure our systems remain scalable, secure, and resilient under massive loads.
Collaborate Across Teams: Partner closely with Product Managers, DevOps, UX designers, and Security Researchers to align engineering efforts with our strategic roadmap and customer needs.

As a DevOps Engineer, you won't just "maintain" infrastructure, you will own it.
You will lead the charge in cloud security automation, using an AI-first mindset to drive extreme efficiency. Your mission is to identify, rectify, and prevent misconfigurations and bottlenecks in advance. You are expected to operate with high autonomy, shaping the future of secure cloud environments by being a proactive force, not a reactive one.
Key Responsibilities:
Innovate & Implement:Design and implement cloud infrastructure solutions with a focus on GCP, including compute reservations, BigQuery, Pub/Sub, GCS, and networking.
Release Engineering: Lead weekly production upgrade cycles across global multi-region environments, including branch-out processes, hotfix management, version gating, and rollback procedures.
Service Deployment & Lifecycle: Own end-to-end service deployments on Kubernetes - from Helm chart creation and Flux/GitOps configuration to production rollout and scaling.
Database Administration:Manage and optimize database infrastructure including MySQL, Redis, BigQuery, Neo4j, Scylla, MongoDB, and PostgreSQL in production environments.
AI Integration: Utilize AI-supporting tools to optimize coding, automate repetitive tasks, and solve complex architectural puzzles. Contribute to AI-native infrastructure such as Vertex AI and AI Gateway services.
Tenant & Customer Infrastructure: Manage customer-specific infrastructure including dedicated compute reservations, tenant provisioning, licensing configuration, and feature flag management across multi-tenant and single-tenant environments.
Infrastructure Automation & Tooling:Develop internal CLI tools and automation scripts (Python) to streamline operations.
Cost Optimization: Drive cloud cost optimization through resource right-sizing, reservation management, database disk reduction, and efficiency improvements.
Service Reliability: Enhance uptime by establishing SLAs, setting up comprehensive monitoring (Prometheus, Grafana, Stackdriver), and participating in the production on-call rotation (including off-hours support).

We are looking for a Senior Staff C++ Engineer to join our Tel Aviv R&D center and take a key engineering role within the Cross Platform Agent team.
Key Responsibilities
Lead the design and implementation of critical Cortex Agent components deployed across endpoint platforms (Windows, macOS, Linux) and cloud-native environments.
Build and maintain high-quality, production-grade software in modern, high-performance C++, owning the full lifecycle from design and implementation through automated test development and production support, including the handling of escalated cases.
Own the ongoing maintenance, hardening, and operational stability of the Defender in cloud-native environments.
Own the reliability and operational stability of the Defender components written in Go (Golang), focusing on production support, incident investigation, root-cause analysis, and hardening in large-scale cloud-native customer environments.
Address complex security, reliability, and performance challenges across large-scale endpoint fleets and distributed cloud environments, including Kubernetes, containers, and container runtimes.
Investigate and resolve complex production and field issues, translating operational insights into scalable, resilient, and efficient system improvements.
Raise the bar on engineering quality by effectively leveraging AI tools in software engineering, leading pragmatic design discussions, conducting focused code reviews, and continuously improving system robustness, correctness, and performance.

Required Software Engineer, ML (Technical Leadership)
The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world.
As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are the Code Scanning Team. We are responsible for developing the core scanning engines of the company's products. To provide a holistic solution in the worlds of SCA, IaC and Secrets. We specialize in edge technologies that include static and dynamic code analysis, cloud security and complex dependency analysis.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Take full ownership of specific feature segments, demonstrating accountability for quality and timely delivery from conception to release.
Architect and implement hyper-scalable solutions on GCP, ensuring enterprise-grade quality and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

We are looking for a technically-oriented Engineering Team Lead to lead a high-performing team focused on detection and analytics. This is ideal for someone who is passionate about people leadership but doesnt want to walk away from the code entirely. You will balance roughly leadership/management with hands-on technical contribution, ensuring our microservices architecture remains robust and scalable on Google Cloud.
Key Responsibilities
Drive Execution & Delivery: Take full ownership of your team's software development life cycle. You will manage sprint planning, ensure high-velocity execution, and deliver critical features on time in a fast-paced Agile environment.
Lead & Empower: Directly manage, mentor, and grow a team of talented backend engineers. You will conduct 1-on-1s, guide career development, and foster a culture of continuous learning and high performance.
Shape the Architecture: Act as a technical sounding board for your team. You will guide technical design discussions, review architectures, and ensure our systems remain scalable, secure, and resilient under massive loads.
Collaborate Across Teams: Partner closely with Product Managers, DevOps, UX designers, and Security Researchers to align engineering efforts with our strategic roadmap and customer needs.

As a Senior Technical Program Manager at our company, you will be a pivotal liaison between the SW engineering group and other key teams like QA Automation, Devops and product. You will drive high-quality, on-time releases within our fast-growing Cortex product suite. This role requires a blend of sw technical domain knowledge, strong analytical skills, and a passion for driving change in a dynamic, fast-paced environment to ensure successful delivery.
Key Responsibilities
Orchestrate end-to-end delivery of complex software product capabilities by working closely with DevOps, QA automation, and Product teams.
Collaborate with product management to translate requirements into technical execution plans, defining realistic timelines and tracking cross-team commitments.
Proactively identify, mitigate, and communicate technical dependencies and risks affecting timelines to ensure alignment and accountability.
Drive and define change-management processes, including release planning, risk assessments, observability readiness, and post-launch validations.
Coordinate sprint plans and milestones across R&D, simplifying complex dependencies to ensure aligned delivery within broader program roadmaps.
Provide clear and concise communication to senior engineering leadership on execution status, architectural risks, and operational concerns, focusing on the details that matter.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and us. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

The Cortex AGENTIX Backend Engineering Group is seeking a highly motivated Software Engineering Manager to drive our mission of reimagining and scaling the Cortex XSOAR product for the Agentic AI future. Our team is at the forefront of engineering, transforming XSOAR into an intelligent platform powered by AI Agents to automate cybersecurity workflows. We need a leader with experience building large-scale, high-availability products and a passion for tackling complex distributed systems challenges. We are located primarily in the TLV office, our group operates at a high pace, and the ideal candidate will be a technical innovator, a collaborative teammate, and someone capable of driving architectural decisions critical for agent orchestration and LLM integration into our core platform.
Impact
Direct leadership of well experienced team members (6-8), fostering their technical growth and professional excellence.
Drive the design, development, and scaling of the core backend infrastructure for Agent orchestration and LLM integration that transforms XSOAR into an autonomous AI platform.
Take full responsibility for the development life cycle, from requirement analysis and design through to deployment and support.
Drive ideas and initiatives, leading them from initial concepts to robust production deployments.
Work closely with peers across teams and disciplines to shape comprehensive solutions and ensure seamless product integration.

Required Software Engineer, Machine Learning
We are embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.
The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team.