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Were looking for an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.
This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, youll focus on building the strong data foundations that make those insights possible. You wont just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.
Youll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.
What Youll Do
Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

Required Software Engineer
Powerstore Data Path Engineering team constantly push the boundaries of what is possible in the world of Big Data storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high-performance protocol stacks, and next-generation virtualization technology.
Join us as a Software Engineer on our Data Path Engineering team in Herzliya, Israel to do the best work of your career and make a profound social impact.
What youll achieve:
You will be part of Engineering development team, where software engineers constantly push the boundaries of what is possible in the world of storage and distributed systems. We are a true systems company and work at every layer of the storage stack, including all aspects of operating systems and file systems, distributed algorithms, high performance protocol stacks, and next-generation virtualization technology.
You will:
Participate in the preparation, review and evaluation of software/storage requirements and specifications
Develop of core Software - using mainly C/C++, Python
Prepare written specifications for tasks of varied complexity from verbal requirements
Use defined software lifecycle methodologies
Review and implement test strategies for software products
Take the first step towards your dream career
Every team member brings something unique to the table.
Job ID:R287349.

What will you actually be doing?
Designing, developing, testing, deploying, and maintaining web applications using modern front-end and back-end technologies, including Node.js, React, TypeScript, JavaScript, and Python.
Leveraging AI-powered development tools such as Claude Code to accelerate development workflows, automate repetitive tasks, and improve code quality.
Leading server-side development using microservices architecture to ensure scalable and robust application performance.
Driving the design and implementation of micro frontend architecture, leveraging the industrys latest trends.
Mentoring junior and mid-level engineers through code reviews, pair programming, and technical guidance.
Collaborating with cross-functional teams, including product managers, designers, and other developers, to define technical direction and deliver high-quality applications.
Making architectural decisions and championing engineering best practices across the team.
Integrating AI and LLM capabilities into development pipelines and product features where applicable.

Were hiring a mid-level engineer who enjoys solving engineering productivity problems end-to-end: identifying friction, building pragmatic solutions (often internal tools or automation), driving adoption with partner teams, and measuring whether the change actually helped.
This is not a pure feature-development role. The work typically blends:
Tooling development
Platform / DevOps-oriented engineering
Process optimization
The mix varies over time based on the most valuable friction to remove.
What Youll do:
Build and maintain internal developer tools
Develop and ship production-quality software that improves daily developer workflows (CLIs, services, automations, integrations).
Own well-scoped components or features end-to-end with support from senior teammates: design, implementation, rollout, and maintenance.
Write clear documentation and provide a smooth self-service experience for internal users.
Improve feedback loops in the delivery pipeline
Identify bottlenecks in CI, builds, tests, deployments, and dev environment setup.
Reduce flaky and noisy signals; improve reliability and developer trust in tooling.
Add pragmatic observability and operational hygiene to internal tools (logging, dashboards, runbooks where needed).
Reduce cognitive load and friction across teams
Make it easier to understand how things work here via better docs, templates, golden paths, and clearer ownership.
Work with partner teams to streamline handoffs and remove recurring workflow pain.
Contribute to lightweight process improvements that reduce interruptions and unplanned work.
Collaborate and deliver
Partner with multiple R&D teams to understand pain points and deliver incremental improvements.
Break down ambiguous problems into actionable steps; communicate progress and tradeoffs clearly.

Required Software Engineer - Security Intelligence & Engagement
About the role
As a Software Engineer on the Security Intelligence & Engagement team, youll be part of a domain responsible for closing the loop between security insight and action across the platform.
Our team builds the systems that transform large-scale cloud security data into meaningful risk insights, such as risk scores, trends, and contextual signals, and the experiences that drive customer response, including alerts, notifications, and guided remediation missions.
Youll work on scalable backend services and distributed systems that power how security insights are generated, aggregated, and delivered to users. The team operates across multiple product domains to ensure that insights lead directly to action, enabling customers to prioritize and resolve risks effectively.
This role is a great opportunity to work on high scale cloud security systems, collaborate across teams, and contribute to building reliable services that sit at the center of our platform.
On a typical day youll:
Design and implement backend services that generate and deliver security insights and engagement workflows
Write clean, maintainable, and well-tested code that meets production quality standards
Build scalable systems that process and aggregate large volumes of cloud security signals
Collaborate with product managers, engineers, and designers to translate insights into actionable user experiences
Troubleshoot and resolve complex system issues while improving system reliability and observability
Contribute to architectural discussions and help evolve services to support growing scale and new capabilities
Implement new features following Agile development practices and established engineering standards
Continuously improve system performance, scalability, and maintainability.

Join our world-class team of researchers and engineers in Tel Aviv, Israel, and play a pivotal role in architecting a more secure foundation for the enterprise browser landscape. This is not just a job; it's a chance to leave your mark on the future of security. Become a pioneer in shaping the core of our Chromium-based enterprise browser and push the boundaries of what's possible.
Your Impact
Lead the change - Own critical features from conception to deployment, shaping the core of our Chromium-based enterprise browser
Mastermind innovations - Solve difficult challenges, keeping our users experience smooth and secure
Empower your team - Mentor and guide fellow engineers, sharing your expertise and fostering a collaborative environment where brilliance thrives
Champion excellence - Set the bar high, driving continuous improvement in processes, tools, and the overall product
Join us and
Work alongside the best in the industry, pushing the boundaries of enterprise security in a collaborative and inspiring environment
Shape the future of a critical product, impacting millions of users and making a tangible difference in the cybersecurity landscape
Grow as a leader and innovator, with unparalleled opportunities to mentor, research, and shape the technical direction of our team.

Required Software Engineer, Filesystem
About The Position:
We are architecting a new approach to the enterprise data stack built for the AI era. The Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
We are 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 most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
As a Software Engineer, youll:
Be a key part of our Filesystem product area, dedicated to enhancing the quality, robustness, and performance of the core features of our large scale storage solution. Youll be working closely with highly experienced developers to develop and expand the capabilities of our storage solution, with emphasis on quality and high performance.
Key Responsibilities:
Assist in the development and enhancement of distributed file system components to support data management features such as snapshots, replication, and tiering.
Work closely with senior developers, assisting them on projects while gaining insights and understanding of complex tasks and workflows.
Have a strong focus on quality with emphasis on designing and implementing unit tests.
Contribute to performance optimization efforts by learning to identify bottlenecks and implementing effective solutions.
Engage in ongoing learning to enhance the productivity, reliability, and maintainability of software solutions.
Collaborate on the design, architecture, and implementation of next-generation storage architecture.

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.

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.