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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.

This is a role dedicated to driving success for our top-tier accounts. You will be the success architect and orchestrator of their entire journey, ensuring they fully maximize the value of the platform and achieve their desired outcomes. You'll combine technical expertise with a relentless focus on organization and process improvement, identifying and bridging any gaps or issues that arise within these complex accounts.

Location - Givatayim, Israel ( Hybrid )

Responsibilities:

Develop and maintain an understanding of best practices for at-scale implementations of the solutions

Proactively understand and anticipate the technical needs and challenges of your assigned accounts. Understand complex technical situations, take ownership of ensuring resolution, and escalate when necessary

Bridge the gap between technical knowledge and customer needs, translating complex technical information into clear and actionable insights for both internal and external stakeholders. Collaborate effectively with engineering, product, support, sales, marketing, and leadership teams to deliver optimal solutions

Maintain a commitment to continued growth and understanding of our implementations, staying abreast of the latest updates and best practices.

Design and execute personalized customer success plans with measurable goals, focusing on maximizing feature utilization, securing client renewals, supporting lead generation, and driving expansion revenue.

Identify and address potential roadblocks before they become critical issues, ensuring proactive solutions to maintain smooth operations and high customer satisfaction.

Continuously assess and optimize customer workflows, implementing solutions or identifying gaps to improve efficiency and effectiveness across the company.

Implement and refine internal processes to optimize the customer experience and ensure seamless communication and collaboration with your accounts

Leverage metrics and KPIs to track progress, identify areas for improvement, and demonstrate the impact of your initiatives

Deliver clear and concise technical communications to both internal and external stakeholders, influencing, advocating, and driving action as needed

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.

We are looking for a fast learning, motivated individual to join our Product Experience team in R&D. If youre passionate about technology and problem solving, but are also a great communicator, wed love to chat with you. This role is a great opportunity to expand your technical skillset and work directly with our Software Engineers to support a wide range of customer use cases on a variety of web-based platforms.
What will you actually be doing?
Analyzing and researching customer use cases and processes in web applications.
Monitoring Production logs in our Backoffice system to identify and proactively address potential issues.
Implementing solutions that will scale to millions of users.
Advancing the world one step closer to Artificial General Intelligence.
Working closely with Software Engineers, Product Managers, Professional Services, Customer Success and Support to ensure the ongoing success of our customers.
Proactively thinking of new and innovative ways to provide our customers with an outstanding product experience.
Creating internal documentation and resources to share knowledge within the organization.
Serving as an internal point of escalation for our Support team and driving resolution of technical issues, including identification of root cause.

we are seeking an experienced and highly motivated Support Engineer to join our dynamic Support team. As a Support Engineer, you will play a critical role in ensuring the success of our customers by providing technical support and delivering solutions to issues raised by customers. You will work closely with our customers, as well as collaborate with cross-functional teams to enhance the overall customer experience.
Responsibilities:
Customer Support:
Provide high-quality technical support to customers via various channels (email, chat, phone).
Troubleshoot and resolve issues promptly and effectively.
Collaborate with customers to understand their needs and provide tailored solutions.
Technical Expertise:
Develop and maintain in-depth knowledge of our to effectively troubleshoot and resolve customer issues.
Stay updated on product enhancements, new features, and industry best practices.
Problem Resolution:
Analyze and diagnose technical issues reported by customers and provide timely resolutions.
Escalate issues to the development team when necessary, providing detailed information for efficient problem resolution.
Document troubleshooting steps and solutions for internal and external knowledge bases.
Customer Advocacy:
Advocate for customer needs and collaborate with internal teams to address and prioritize product bugs and product improvements.
Continuous Improvement:

Contribute to the development of documentation to streamline support processes.

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.

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.