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Required Senior Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

We are looking for a Group Lead to architect our System Verification & Simulation efforts. This is not a traditional QA role. We are seeking a veteran Software Engineer or Systems Architect to build the "adversarial" distributed system that pushes our platform to its theoretical limits.
Your mandate is twofold:
Build a validation platform capable of simulating massive-scale AI workloads.
Transform the group into an AI-native engineering force. You will leverage Generative AI and LLMs to multiply engineering velocity, automate complex scenario generation, and achieve 1000x the coverage of traditional teams.
What You Will Build & Lead:
Engineering, Not Scripting: You will lead a team of 20+ engineers who write production-grade code (Python, Go, C++) to create a validation ecosystem.
Your team operates with the same rigorous code reviews, design docs, and architectural standards as the Core Kernel team.
Lead the AI-Native Transformation: You will pioneer the integration of AI agents and LLMs into the engineering workflow. This means using AI for synthetic workload generation, automated root-cause analysis of crash dumps, and intelligent test code generation, making your team an ultra-productive powerhouse.
Architecting "The Breaker": Design and build a massive-scale distributed validation framework. You will focus on orchestrating millions of concurrent IO operations to hunt down race conditions, memory leaks, and network partition behaviors that only appear at extreme scale.
Simulation & Chaos: Evolve our infrastructure to simulate real-world entropy. You will champion the development of tools that inject latency, packet loss, and hardware failures into the cluster to prove resilience (Chaos Engineering).
Deep-System Telemetry: Move beyond "Pass/Fail." You will build the observability pipelines that track P99 latency, jitter, and recovery times, providing deep feedback loops to the Core team on architectural bottlenecks.

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,

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

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 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 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 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.