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we are looking for an experienced Chief Architect to lead the architectural vision and technical strategy for our platform. In this role, you will define and drive the long-term architecture of our Threat Exposure Management platform, ensuring scalability and innovation as we continue to grow exponentially. You will work closely with Engineering and executive leadership to design complex systems, guide technical decisions, and help shape the future of our technology.
About us
The company Threat Exposure Management Platform is the first and only consolidated platform that integrates with your security tools to reveal, remediate, and mitigate exposure risks across your entire infrastructure. Backed by Sequoia Capital and Cyberstarts, our company uses an agentless approach to reveal what is truly exploitable, while reducing manual prioritization and remediation through automated response workflows
What you will do
Define and lead the overall architecture strategy of our companys platform.
Design scalable, secure, and resilient distributed systems.
Partner with Engineering leadership to guide technical direction and architecture decisions across teams.
Lead the design of complex cross-platform integrations with security tools and enterprise environments.
Ensure architectural consistency, performance, and scalability as the company grows.
Mentor senior engineers and architects and help elevate engineering standards across the organization.
Evaluate and introduce new technologies, frameworks, and architectural patterns.
Drive architectural reviews and ensure best practices in system design, reliability, and security.

As an Enterprise Professional Services Engineer, you are the technical architect and relationship lead for our most strategic global accounts. You own the technical success of the customer journey, focusing on Solution Design and the Integration Strategy required to make our company the heart of a modern IT stack.
This is a high-impact role for a consultant-engineer hybrid. You will be expected to leverage deep API architecture knowledge, advanced scripting, and creative problem-solving to design bespoke solutions that bridge the gap between our company and complex enterprise ecosystems. You are the "Bridge" between business requirements and technical reality.
Key Responsibilities
Integration Design & Scripting Excellence
Architect Integration Solutions: Lead the technical design of complex integrations using REST APIs and webhooks to seamlessly connect our company with enterprise stacks such as ServiceNow, Salesforce, Okta, and Azure.
Advanced Automation Scripting: Utilize PowerShell and Python to automate complex IT workflows, data migrations, and system synchronizations tailored to enterprise security and compliance standards.
Technical Strategy: Design end-to-end migration paths for Enterprise customers, moving them from legacy infrastructure to a modern, AI-first our company environment.
AI-Driven Workflows: Design and implement AI-driven automation logic that reduces manual overhead and optimizes operational efficiency for global IT teams.
Relationship & Project Leadership
Lead the Relationship: Serve as the primary technical point of contact, managing stakeholder expectations and translating high-level business goals into technical solution blueprints.
Project Execution: Own the full project lifecycle from a leadership perspective-ensuring on-time delivery, technical validation, and a "white-glove" customer experience.
Global Travel: Travel abroad up to 25% of the time to conduct on-site architectural workshops, lead high-stakes deployments, and build face-to-face rapport with strategic partners.
Communication
English - High proficiency: You must be able to present complex technical architectures to C-suite stakeholders with clarity, authority, and professional polish.
Solution Documentation: Produce high-quality architectural diagrams, technical implementation guides, and API mapping documentation.

Responsibilities
Business Impact
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare complex customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides complex customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Articulates the value of Unified and supports sellers, partnering with account teams to build consumption plans aligned with appropriate services. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.
Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the company value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation. Strategically consults with, actively listens to, and respectfully challenges customers/partners, building trust to then advocate for alternative architectures/solutions/approaches that shape and/or enhance customer requirements. Identifies, anticipates, and evaluates industry trends (e.g., customer industry verticals, information technology [IT] industry), gathers customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and maps both existing and novel architecture and digital transformation solutions to customer/partner business outcomes. Proactively anticipates and captures opportunities in appropriate systems, processes, and tools, working collaboratively across the organization to execute on opportunities aligned with our company's Customer Engagement Model.
Anticipates, identifies, escalates, and mitigates blockers using appropriate tools and processes to accelerate solution deployment, value realization and usage/consumption for complex customers/scenarios. Proactively applies broad business, technical, industry, and/or enterprise knowledge to architecture or support projects to meet business and information technology (IT) requirements and resolve identified constraints.
Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking). Orchestrates and collaborates across our company and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction.

As a principal architect you will be reporting directly to an Engineering Director. In this critical role, you will extend the executive's attention and authority, providing additional leadership and technical bandwidth to oversee particularly complex and high-impact projects. You will work closely with the leadership team, diving into urgent and strategic areas, aligning and defining with the leader's the strategic vision, and ensuring the successful execution of essential initiatives. This role requires deep technical expertise, problem-solving abilities, business-oriented thinking and a , collaborative mindset and proactiveness.
Job Responsibilities :
Drive and oversee technical initiatives across organizations that deliver substantial business value, utilizing the work of others and shaping the direction of the business.
Coordinate initiatives, managing dependencies, and ensuring timely delivery of high-quality solutions.
Serve as a key technical advisor and confidant to leaders in the team, aligning closely with their strategies, values, and priorities and shaping their strategy.
Attend staff meetings, providing technical insights and helping to shape strategic decisions.
Represent the org in various forums, ensuring consistent communication and implementation of leadership directives.
Coordinate initiatives, managing dependencies and ensuring timely delivery of high-quality solutions.
Provide clear and concise communication of technical issues and solutions to stakeholders at all levels.
Provide technical direction and mentorship to engineering teams and leads, fostering a culture of innovation and engineering excellence.
Promote a culture of continuous learning and improvement, encouraging professional development and knowledge sharing.
Ensure technical decisions align with business goals and promote long-term sustainability and scalability.
Optimize processes and workflows, enhancing overall productivity and effectiveness across the organization.
Contribute to staff meetings, providing technical insights and helping to shape strategic decisions.

The Staff Data & AI Architect will define and own the end-to-end architecture of our companys data and AI platform, spanning large-scale data systems, ML experimentation infrastructure, and production-grade model deployment. This role sets the architectural vision and technical standards for data and AI infrastructure across the company, ensuring scalable, compliant, research-accelerating systems that power both research and product development in a regulated biomedical environment.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Architect and evolve a scalable, resilient, and secure data and AI infrastructure supporting our companys research and product platforms. Identify recurring infrastructure and workflow challenges to drive the creation of generalized, reusable platform solutions.
Define scalable experimentation and MLOps patterns supporting experiment tracking, compute orchestration, dataset versioning, and reproducibility guarantees.
Lead the design and implementation of enterprise-grade data management. Establish and enforce data principles (e.g., FAIR, Medallion/Lakehouse architectures) to ensure data quality, lineage, discoverability, and reuse, while guaranteeing that all infrastructure meets security, privacy, and regulatory requirements.
Serve as the senior technical authority for data and AI infrastructure, partnering with Research, Engineering, and Product leadership to align architectural decisions with scientific and business priorities.
Lead technology evaluation and adoption decisions for AI infrastructure, balancing scalability, cost efficiency, compliance, and long-term maintainability.

The Field AI Engineering team is a unique group of professionals combining strong technical expertise, rooted in a software engineering background, with excellent customer-facing skills.
In this role, you will lead major customer engagements, both remotely and on-site, and tackle the most complex challenges faced by our customers. Some of these challenges will be addressed in-house by designing and developing tailored solutions for customer environments. Others will require close collaboration with our R&D and Product teams to deliver scalable and impactful solutions.
This position is ideal for someone who enjoys solving hard technical problems while working directly with customers and influencing product direction.
Responsibilities
Drive AI Security deal success by handling complex technical sales engagements.
Lead and participate in customer meetings, including technical deep dives, solution design sessions, and executive-level discussions, both remotely and on-site.
Collaborate closely with cross-functional teams, including Sales, Product, R&D, Marketing, Customer Success, and Professional Services, to deliver end-to-end customer solutions.
Design and develop custom features, integrations, and tailored solutions to address customer-specific environments and challenges.
Lead and support complex customer deployments, from initial design through implementation and validation.
Act as a hands-on technical expert throughout the customer lifecycle, contributing wherever needed to ensure successful outcomes.

Now we are looking for a SW Architect to join the company team. This is an amazing opportunity to join a growing startup and make a real impact on the future of our product while playing a critical role in the design and development of our SASE solutions.
Responsibilities:
Participate in setting and executing the product architecture and roadmap, maintaining scalability, reliability, productivity, performance, and security.
Collaborate with Product and Engineering to understand and analyze market needs and map them to technical terms of our architecture.
Architect new features and systems to meet functional and non-functional requirements - from management application & services, through our massive cloud backbone and to the multi-platform client products.
Act as a bridge between R&D groups, identifying opportunities and gaps and aligning on common concepts and technical vision.
Be an insider and trusted advisor to different R&D groups and teams, through a hands-on approach and technical excellence.
Stay up to date with industry trends and emerging technologies to drive innovation and product differentiation.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

Were building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
Youll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: youll own key architectural decisions and write production code 100% of the time, side-by-side with the team.
If you like shaping systems at the whiteboard-to-production level-and you want your decisions to run at scale in real AI datacenters-this is that kind of role.
What Youll Do
Design and build the core of an orchestration platform spanning the full datacenter stack.
Turn real customer needs into crisp system architecture: service boundaries, workflows, APIs, data models, and failure modes.
Implement critical platform components end-to-end: from prototypes and spikes to hardened production services.
Define and evolve platform standards through working code: patterns, libraries, templates, test strategy, CI/CD.
Make pragmatic tradeoffs (performance vs. simplicity, consistency vs. availability) and document the why.
Lead design and code reviews, raising quality while keeping velocity high.

As part of System Architecture group, the Cybersecurity System Architect will define the end-to-end architecture of advanced network security services, such as intrusion prevention systems (IPS), and host-based intrusion detection systems (HIDS) and firewalling. This role is at the forefront of integrating deep security intelligence into high-performance, scalable network operating systems and telecom-grade platforms.
As part of R&D core function, shaping next-generation secure network infrastructure by embedding deep packet inspection, behavioral analytics, and threat mitigation into the product architecture.
Responsibilities
1. Architecture of Integrated Security Services
Define and lead the system architecture for L3-L7 firewalling, stateful inspection, policy enforcement, and application-aware filtering.
Architect integration of IPS, DPI, signature- and anomaly-based detection, and evasion-resilient detection engines into control and data plane systems.
Specify how HIDS capabilities will be embedded or interfaced with NOS components for detecting host-based anomalies and compromise indicators.
2. Threat Detection & Prevention Frameworks
Design scalable architectures that support high-speed signature matching, traffic heuristics, and flow analysis under real-world traffic conditions.
Define mechanisms for rule updates, threat intelligence feeds, and integration of ML-based detection algorithms.
Architect policy engines for complex rule matching, including user-defined policy trees and hierarchical control structures.
3. Secure System Integration
Lead system-level threat modeling and security design reviews across platform, OS, and networking protocol layers.
Define secure communication paths, trust boundaries, and cryptographic protections for sensitive metadata, logs, and update mechanisms.
Ensure proper isolation and sandboxing of inspection/control modules, especially in multi-tenant or containerized environments.
4. Performance and Resilience Considerations
Design architectures to meet line-rate security enforcement, ensuring minimal latency overhead while preserving packet integrity.
Align with the HW Architecture for performance optimized flow offload strategies (e.g. hardware-assisted DPI).

As part of System Architecture group, we are looking for an experienced System Architect to lead system and architecture for a network operating system of a hyper scale router & working as part of a technical team in charge of all system, software, algorithms and protocols design, Continues and constant customer engagement at the requirements, product and design levels.
Responsibilities
Collaborate closely with cross-functional teams including software engineers, network engineers, and product managers to define system requirements and design solutions.
Perform spec reviews and provide guidance to team members in design reviews
Develop and implement high-level design methodologies and standards to optimize system architecture.
Drive architectural initiatives that improve system resilience, security, and efficiency.

We are seeking a talented and experienced Software/System Architect to join our dynamic team.
As a System Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient solutions. You will work closely with cross-functional teams, analyze requirements, design solutions and offer technical guidance, ensuring successful development and integration of the end-to-end solution.
Responsibilities:
Design high-availability, fault-tolerant, and scalable distributed systems using microservices, event-driven patterns, and best-practice architectural principles.
Analyze and understand business requirements to create system specifications.
Lead design reviews, evaluate technical proposals, and validate architecture compliance across teams.
Define and maintain system architecture diagrams, including component, sequence and data flow diagrams.
Collaborate with development teams to guide the implementation of the solution
Ensure alignment of technical solutions with business goals and industry best practices.
Oversee system integration, troubleshoot issues, and provide architecture support as needed.
Conduct regular system reviews to identify areas for improvement and optimization.
Collaborate effectively with multiple stakeholders such as product management, professional services, sales, development and production support.

Define the AI core architecture that will shape the next generation of AI chips, leading the global competition in AI computing power. As a key contributor to the competitiveness of AI core architecture, we drive chip architecture innovation starting from algorithm evolution, building a full-stack closed-loop capability of "algorithm-architecture-circuit-system," and creating a globally leading, independently controllable AI accelerator core to support the Ascend AI ecosystem and the implementation of large model strategies.
Responsibilities
Lead next generation inference solution optimized for power, performance and area. Considering scalable solution for large scale systems with many resources. Covering efficient data delivery and workload map.

With the explosive growth of AI technologies and the Internet industry, data centers have become digital hubs and infrastructures of the Internet industry in the digital economy era. Computing networks, as core components of data centers, have features such as topology, scalability, throughput, reliability, and latency that directly affect data center functionality and performance. The computing cluster networking lab explores architecture and technological innovation for meeting the challenges of future large-scale AI & HPC data centers. .. The labs mission is to lead our company to achieve differentiated competitiveness in high-performance computing cluster network infrastructure, and to support Huawei's industry-leading computing cluster.
Position Overview
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware,
software, and ucode design teams, to ensure alignment of architectural decisions with
product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries
Evaluate and recommend technologies and next generation projects
Occasional travel related to ongoing projects, seminars, conferences etc.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.