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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people. At our company, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cuttingedge technologies and services to an ever-growing customer base. our company Software Technologies has been honoured by Time Magazine as one of the Worlds Best Companies for 2024. We've also earned a spot on the Forbes list of the Worlds Best Places to Work for five consecutive years (2020-2024) and recognized as one of the Worlds Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us. Your role in a nutshell We are looking for an experienced Solutions Architect to join our rapidly expanding Secure Service Edge business. This role involves overseeing all technical Proof of Concepts (POCs) within the Secure Service Edge domain and offering customers both technical expertise and strategic guidance.
Key Responsibilities
Provide guidance on technical and strategic aspects of customer engagements.
Provide POC and Eval guidance, support and strategic thinking in designing and improving new or existing processes.
Lead and manage different sales engineering opportunities, ensuring alignment with company objectives and sales targets.
Collaborate with sales teams to identify customer requirements and tailor solutions that address their needs.
Provide technical expertise and support during the sales process. Develop and maintain strong relationships with key customers and partners.
Work closely with product management and engineering teams to relay customer feedback and influence product development. Stay up to date with industry trends, competitor products, and market intelligence
Conduct technical presentations and demonstrations to showcase the value of our products and conduct C-level meetings.
Act as a liaison between the sales and product teams, providing valuable insights for product enhancements.
Requirements:
Possess a deep understanding of the company's products and solutions
Proven experience in leading and managing a sales process
International experience is requested
Strong technical acumen with the ability to understand and communicate complex technical concepts
Proven experience in presenting products and solutions at National and International events, and local events
+5 years of a strong technical background with a deep understanding of cybersecurity, network security, Secure Service Edge, or SASE solutions
Extensive Salesforce experience
Good understanding of Secure Service Edge and SASE solutions
Outstanding interpersonal and communication skills
Demonstrated success in collaborating with cross-functional teams
Strategic thinking and problem-solving abilities
Experience in a customer-facing role, preferably in a sales engineering capacity
Excellent communication and presentation skills
Ability to travel as required
Fluent in English.
This position is open to all candidates.
 
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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.
Requirements:
10+ years in software or platform architecture, including experience leading cross-organizational transformations.
Proven track record of designing large-scale, data-driven, or AI-enabled systems.
Experience delivering projects with measurable business outcomes and ROI.
Expertise
Enterprise and cloud-native architecture (multi-tenant, microservices, API-first, distributed systems).
Deep understanding of AI/ML infrastructure, LLM integration patterns, agent frameworks, and MLOps.
Familiarity with data engineering, retrieval-augmented generation (RAG), and workflow orchestration (e.g., n8n, LangChain).
Background in cyber security or secure software design - strong advantage.
Mindset & Skills
Transformation-oriented thinker who connects technology to organizational capability and business strategy.
Excellent communicator and influencer at multiple levels (executive to technical).
Bias for action, simplification, and measurable outcomes.
This position is open to all candidates.
 
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02/07/2026
Location: Caesarea
Job Type: Full Time
we are seeking a Lead System Architect to join our system architecture team and help define NR-NEXUS, our next-generation AI inference platform.
Responsibilities:
Lead the software architecture and technical roadmap for NR-Nexus
Write system specifications for NR-Nexus product
Research AI infrastructure, SaaS platforms, model serving, and inference trends
Work with engineering to translate technical capabilities into product value
Work closely with engineering teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership
Requirements:
7+ years of software engineering experience, including 3+ years in software architecture or technical leadership.
Strong experience with Kubernetes-based platforms and cloud-native architecture.
Deep understanding of Gen AI/LLM infrastructure and distributed workloads
Experience designing management software or SaaS platforms for production systems.
Strong background in distributed systems, microservices, APIs, and automation.
Hands-on experience with observability stacks, monitoring, logging, alerting, and SLA/SLO tracking.
Experience with CI/CD, deployment automation, upgrades, and rollback mechanisms.
Good understanding of security, authentication, authorization, and integration with customer data center environments.
Nice to have:
Deep understanding of GenAI / LLM inference infrastructure, including model serving, scaling, batching, latency, throughput, and resource utilization.
Experience with production AI inference clusters using GPUs, AI accelerators, or other specialized compute infrastructure.
Understanding of how distributed inference systems operate, including scheduling, load balancing, autoscaling, failover, and cluster-level observability.
Experience with LLM serving frameworks such as vLLM, Triton Inference Server, TensorRT-LLM, or similar.
Familiarity with GPU/accelerator orchestration, device plugins, resource scheduling, and cluster capacity planning.
Familiarity with GPU communication technologies such as GPUDirect RDMA, NCCL, NVLink, or UALink.
Experience optimizing communication for distributed AI/ML workloads.
Knowledge of Prometheus, Grafana, OpenTelemetry, Helm, Argo CD, Istio, KServe, Kubeflow, or similar tools.
Experience deploying software in on-prem, edge, private cloud, or hybrid environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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02/07/2026
Location: Caesarea
Job Type: Full Time
we are seeking a Lead System Architect to join our system architecture team and help define the next generation of our AI-SuperNIC scale-out chip.
AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.
You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.
Responsibilities:
Lead the software architecture and technical roadmap for or next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership across firmware, driver, and networking software development
Requirements:
BSc/MSc in Computer Science, Electrical Engineering, or a related field.
7+ years of experience in software architecture, networking software, or system software development.
Strong experience developing Linux kernel drivers, firmware, and user-space networking software.
Deep understanding of data center networking, including Ethernet, TCP/IP, routing, switching and congestion management
Proven experience defining software architectures that span hardware, firmware, kernel, and user-space components.
Strong programming skills in C/C++ and experience with Linux-based development environments.
Experience leading cross-functional technical initiatives and collaborating with hardware and system architecture teams.
Excellent analytical, debugging, and performance optimization skills.
Nice to Have:
Experience with RDMA technologies and low-latency networking architectures.
Experience with libfabric, libibverbs, RDMA-core, DPDK, SPDK, or similar infrastructure software.
Familiarity with GPU communication technologies such as GPUDirect RDMA, NCCL, NVLink, or UALink.
Experience optimizing communication for distributed AI/ML workloads.
Contributions to open-source networking or Linux kernel projects.
Experience working on SmartNICs, DPUs, NICs, or networking ASICs.
Deep understanding of GenAI/ML infrastructure and distributed workloads
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Herzliya
Job Type: Full Time
You'd be joining our Customer Experience team - currently five people spread across Portugal, the USA, and India. We're now looking for a team member based in Israel, where we have its HQ, putting you right alongside the engineers who build the product. It's a rare seat: close to the technology, close to the customers, and with real influence over both.

We're looking for a hands-on Senior Solution Architect to lead our Pre-Sales and Proof-of-Concept work. You'll be the technical authority prospects trust when they're deciding whether to bet their most critical workloads on us and you'll thrive on the pace and ownership that come with a fast-growing company.

Key Responsibilities:
Win the technical case. Partner with our sales organization to demonstrate our value to prospects and drive adoption. You'll own the "technical win" on every opportunity you touch.
Get prospects to production. Provide technical review and recommendations for deploying us in production environments, and help prospects set up, tune, and benchmark the database during Proof-of-Concept phases.
Build and document solutions. Design solutions on us and capture them in clear documentation - including integration guides and benchmarks of third-party tools working alongside our products.
Teach the technology. Develop training materials for our customers, and create and deliver training that helps users get the most out of the platform.
Connect the dots. Collaborate closely with other Solution Architects, and act as the bridge between customers and our product management and engineering teams - carrying real-world feedback back to the people building the product.
Requirements:
Pre-Sales / SA experience. 4+ years in a Pre-Sales or Solution Architect role, where you've owned the technical relationship with prospects and earned their trust.
Deep Linux fluency. Excellent working knowledge of Linux operating systems - you're comfortable operating, troubleshooting, and tuning in a Linux environment.
Startup instincts. Experience working in a startup environment, where ambiguity is normal, ownership is high, and moving fast matters.
A feel for selling services. Experience selling DBaaS or other service-oriented products, with an understanding of how technical value translates into a buying decision.
Hands-on NoSQL expertise. 2+ years deploying and managing NoSQL databases (including data modeling and deploying applications on systems like Cassandra/DataStax, MongoDB, or Redis).
Coding ability. A solid command of modern scripting languages (e.g. Python, Node.js) and/or popular programming languages (e.g. C/C++, Java, C#) - enough to build, integrate, and demonstrate, not just discuss.
Big-data ecosystem exposure. Hands-on experience with tools like Spark, Kafka, time-series databases, and graph databases.
A relevant foundation. An undergraduate degree in engineering, computer science, or a similar field.
Outstanding communication. Exceptional written and verbal skills - you can explain complex technical concepts clearly to engineers and executives alike.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Petah Tikva
Job Type: Full Time
Your Career
Drive the cross-company performance strategy, shifting from reactive testing to proactive Performance Engineering.
Develop centralized, reusable performance testing assets and AI-powered dashboards for use by all product teams.
Use AI to analyze vast amounts of telemetry data, providing actionable insights into architectural weaknesses and cost-optimization opportunities.
Partner with R&D and Product Leads to ensure performance is integrated into our CI/CD pipelines.
Lead a performance-aware SDLC process, set KPIs, and work with R&D and Product to ensure new features meet performance demands.
Incorporate customer requirements into testing cycles for new features and regression suites.
Requirements:
Your Experience
Bachelor's degree with 12 years of experience, or Master's degree with 8 years of experience, or PhD with 5 years of experience in Performance Engineering.
Proven leadership with experience leading complex technical projects or teams.
Expert knowledge of performance testing tools (e.g., LoadRunner, Locust, JMeter).
Strong hands-on coding proficiency in Java, Python, or Go.
Experience or deep interest in applying AI/LLMs to automate testing workflows or analyze performance metrics.
Extensive experience with AWS infrastructure and Kubernetes.
Experience with AI-driven Root Cause Analysis (RCA) to pinpoint bottlenecks in complex microservices architectures.
Ability to explain complex performance data to stakeholders and influence R&D roadmaps.
Preferred Qualifications
Experience with AIOps tools and predictive monitoring.
Active contribution to the performance engineering or AI community (blogs, open source, meetups).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
12 years of experience in computer architecture, chip architecture, or hardware-software co-design.
Experience architecting and developing software systems in C++ or Python for performance modeling, simulation, or system analysis.
Preferred qualifications:
Masters degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science with an emphasis on computer architecture.
Experience as a lead architect managing multi-generational hardware solutions or performance optimizations for massive-scale ML training and inference.
Experience in semiconductor technologies, industry trends, and the future trajectory of process, memory, interconnects, and packaging.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and deep understanding of their underlying execution models.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required SoC Input Output Architect, Silicon, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our Silicon team is driving the future of cloud data center computing. As a System on Chip Input Output (SoC IO) Architect, you will help define a new generation of our products. You will have pivotal responsibilities and serve as the organization Mobile Industry Processor Interface (MIPI) focal point.
Responsibilities
Evaluate different silicon solutions for executing Mobile Industry Processor Interface and other input/output peripheries, off-the-shelf components, vendor co-developments, and custom designs.
Drive vendor execution in various engagements, standard component, build to specification, and co-developments.
Collaborate with software, design, verification, physical design, packaging, and silicon validation stakeholders to ensure that designs are complete, correct, and performant.
Create high performance hardware/software interfaces.
Collaborate in developing a new SoC.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
15 years of experience working with mobile industry processor interface (C-PHY and D-PHY) architecture.
6 years of experience in people management and developing employees.
Experience with system design principles for low latency, low power, throughput, security, and reliability.
Experience in micro-architecture, design, verification, logic synthesis, and timing closure.
Experience with signal integrity and power integrity.
Preferred qualifications:
Masters degree or PhD in Electrical Engineering or Computer Engineering.
Experience with USB, Multi-Gigabit Ethernet (MGBE), PCIe and display port IPs.
Experience with post-silicon bring-up and lab work.
Familiarity with Gigabit Multimedia Serial Link (GMSL).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Caesarea
Job Type: Full Time and Hybrid work
Performance Architect
What You'll Do:
Join our Silicon One architecture team, the core of silicon development. Our architects manage all aspects of system chip development and provide specifications to various development teams. In this role you will:
Define the features and specifications of future devices.
Utilize a data-driven approach to model and analyze networks of tomorrow, providing optimal solutions for our customers.
Model, analyze, and present simulation results for cutting-edge networking solutions across various use cases.
Apply strong networking research skills and a robust theoretical background to your work.
Who You'll Work With
You will be part of our Silicon One architecture team, which is central to our ASIC group.
Our team, which operates with a startup mentality within a stable and leading corporation, drives the development of next-generation networking devices.
Our design center is unique, hosting all silicon hardware and software development disciplines at one site. We are revolutionizing the industry by building a new internet for AI networks and the 5G era, with a unified, programmable silicon architecture that will underpin all of our future routing and switching products.
Our devices are engineered to be adaptable across service providers and web-scale markets, designed for both fixed and modular platforms. They deliver high speed without sacrificing programmability, buffering, power efficiency, scale, or feature flexibility. We are set to be a transformative technology for decades to come.
Requirements:
Minimum Requirements
Software Development Skills: Proficiency in C++ and Python.
Research Skills: Experience researching networking solutions.
Self-Learning Ability: Capability to quickly grasp new concepts and technologies from papers and specifications.
Presentation Skills: Effective in communicating and presenting complex technical concepts.
Curiosity & Innovation: A passion for innovation, with strong analytical skills and meticulous attention to detail.
Team Player: Proven ability to collaborate and contribute to team goals.
Technical Documentation: Strong writing skills for creating technical documents.
Preferred/Advantageous Qualifications
Versatility: Adaptable to diverse tasks within the networking architecture domain.
Network Modeling Experience: Familiarity with tools like ns-3 or OMNeT++.
AI Knowledge: Familiarity with AI concepts.
This position is open to all candidates.
 
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8717196
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Location: Darom
Job Type: Full Time
We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.
Requirements:
5+ years of experience in QA roles, including hands-on automation experience.
Experience building QA practices for cloud-native, distributed systems.
Hands-on experience with CI/CD pipelines.
Familiarity with AWS services (e.g., API Gateway, Lambda, DynamoDB, CloudWatch).
Knowledge of observability and monitoring tools (Datadog - Advantage).
Experience in building automated testing gates in CI/CD-based products.
Experience in testing and working with full-stack SaaS products.
Strong communication and interpersonal skills to work with multiple integrations and external stakeholders and to influence and drive change.
Proactive by nature; internal drive for excellence and improvement.
Ability to mentor and develop team members, fostering a culture of continuous improvement.
Background or experience in software development or security testing - Advantage.
Knowledge of security principles (e.g., access control, secrets exposure, identity testing) - Advantage.
Experience in performance and scale tests - Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8717090
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Location: Petah Tikva
Job Type: Full Time
As our Principal Architect for Identity Governance and Administration (IGA), you will be the visionary lead for our identity lifecycle management, compliance, and access control strategies. You will design the integration approach between company services and IGA, as well as between on-prem applications and the IGA cloud service, strengthening overall IGA capabilities and improving scalability.
Your Impact
Lead the architectural vision and strategy for the Identity Governance and Administration (IGA) platform.
Design and oversee the integration architecture between internal services, on-prem applications, and the IGA cloud service.
Drive the enhancement and scalability of IGA capabilities across the enterprise.
Lead proof-of-concept (POC) projects and hands-on technical exploration to introduce new technologies and advance the product architecture.
Act as a collaborative technical leader, mentoring team members and working constructively with peer architects to advance shared goals.
Anticipate, assess, and mitigate technical risks while balancing architectural excellence and business priorities.
Work with product and business stakeholders to align the architectural roadmap with company objectives.
Requirements:
Your Experience
A minimum of 10 years of professional experience, with demonstrated expertise in SaaS-based and On-prem software architecture.
Proven ability as a collaborative technical leader who develops others and works constructively with peer architects.
Strong track record of leading POCs and hands-on technical exploration to continuously advance product architecture.
A proactive, results-driven mindset with strong decision-making skills.
Strong understanding of system integration design patterns, with the ability to anticipate, assess, and mitigate technical risks.
Experience with containerized environments (Kubernetes, Docker, EKS, ECS, etc.) and/or serverless technologies (e.g., AWS Lambda).
Excellent verbal and written communication skills, with full professional fluency in English.
Highly self-directed, with a strong commitment to quality, continuous improvement, and technical excellence.
A self-learner with a passion for exploring new technologies and sharing knowledge across the team.
Preferred Qualifications
Strong hands-on experience with AWS cloud services.
Good understanding of on-prem systems and hybrid architectures.
Deep understanding of security principles and best practices for building highly scalable systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8717047
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Location: Herzliya
Job Type: Full Time
Join us as a Principal Member of Technical Staff on our Lightning team in Israel to do the best work of your career and make a profound social impact. As a core member of our elite innovation unit, you will architect and build next-generation AI/HPC storage platforms enabling massive-scale "AI Factories."

You will operate as a deep technical leader, influencing architecture and solving complex system-level challenges across distributed filesystems and performance engineering.

As a member of Technical Staff, you will be responsible for designing and building next-generation distributed storage systems for AI and HPC workloads, focusing on extreme performance and scalability. You will work with product architects and global engineering teams on advanced filesystems, data services, and performance-critical platform innovations.

You will:

Architect extreme-scale distributed storage systems tailored for AI model training and large-scale GPU clusters.

Design and develop high-performance, multi-threaded components in C/C++ on Linux/Unix platforms.

Lead the evolution of parallel filesystems (Lustre, GPFS) and scale-out NAS architectures.

Drive end-to-end performance analysis and optimization, identifying and eliminating bottlenecks in I/O paths and memory usage.

Partner with product architects and senior leadership to translate complex customer requirements into scalable, resilient technical solutions.
Requirements:
Essential Requirements:

Proven experience in designing distributed storage systems, filesystems, or high-performance computing (HPC) platforms.

Deep expertise in Linux/Unix operating systems, specifically in memory management, concurrency, and kernel-level I/O stacks.

Advanced proficiency in C/C++ development for multi-threaded, low-latency system environments.

Hands-on experience with high-performance protocols such as RDMA (InfiniBand/RoCE) and NVMe-over-Fabrics (NVMe-oF).

Strong technical leadership skills with experience guiding architectural decisions and mentoring engineers in globally distributed teams.



Desirable Requirements:

Expertise in parallel filesystems (e.g., Lustre, GPFS, CephFS) and optimizing data ingestion pipelines for large-scale AI/GPU workloads.

Experience with modern cloud-native storage, including Kubernetes/CSI, and a history of contributions to technical IP, patents, or industry standards.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8716958
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Location: Herzliya
Job Type: Full Time
As a Senior Software Architect, you will be responsible for defining the architecture and technical strategy of our SaaS and on prem platforms. You will work with multiple engineering teams on building scalable, secure, and high& performance data platforms that support enterprise AI workloads and mission critical applications.

You will:
Define and evolve architectural standards across security, data, and observability.
Collaborate with engineering teams to ensure cohesive and scalable system design.
Architect high scale services, APIs, and data pipelines for enterprise workloads.
Conduct architectural specifications review sessions (we work SDD and TDD), design workshops, and code level consultations.
Mentor engineers and lead architectural governance and design decisions.
Requirements:
Essential Requirements:
10+ years of software engineering experience, including experience in an architectural or technical leadership role.
Strong expertise in SaaS and on prem architectures, microservices, and data platforms.
Proficiency in modern programming languages (e.g., Java, Go, Python, or JavaScript/TypeScript) and cloud platforms (AWS, Azure, or GCP).
Experience with containers and orchestration tools (Kubernetes, Docker) and event streaming/data technologies.
Bachelors or Masters degree in Computer Science, Engineering, or related field.

Desirable Requirements:
Experience with enterprise AI/ML data platforms or large scale distributed systems.
Familiarity with cloud security, infrastructure as code, or regulated environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8716704
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Location: Tel Aviv-Yafo
Job Type: Full Time
Are you a master of the AI lifecycle who can thrive at the intersection of deep learning research, cybersecurity and large-scale production systems? Do you possess the rare ability to jump into a complex technical crisis, diagnose a bottleneck in a Small Language Model (SLM), and lead a team to a production-ready solution?
As a Distinguished AI/ML Architect, you will be the premier technical authority across the Cortex AI/ML organization. You will serve as the "force multiplier" for multiple AI & ML teams, ensuring that our AI strategy - from endpoint-deployed DL/ML models to cloud-scale agentic products - is executed with world-class precision. You will operate as the primary technical architect and hands-on leader for our most ambitious and difficult initiatives.
Key Responsibilities
Operate at the forefront of AI and cybersecurity, leveraging vast datasets to design and deploy innovative defense mechanisms.
Provide horizontal technical leadership across endpoint, cloud, and agentic AI teams to ensure architectural excellence.
Oversee the design and deployment of different model architectures to guarantee scalability and high-performance standards.
Spearhead high-difficulty initiatives and new research frontiers, moving them from ambiguity to production.
Resolve complex technical bottlenecks across the stack, optimizing model efficiency and runtime performance.
Align research and engineering efforts to transform advanced models into robust, production-grade products.
Requirements:
10+ years of hands-on experience delivering production-grade machine learning and deep learning projects at scale.
Proven ability to own the entire lifecycle of a project-taking ambiguous ideas from initial research through to successful production deployment.
Extensive experience designing, training, and fine-tuning complex models, including SLMs and LLMs, tailored to specific proprietary datasets.
Track record of shipping diverse models to production across both resource-constrained endpoints and high-throughput cloud environments.
Deep expertise in building and optimizing agentic AI systems, including RAG architectures and autonomous workflows.
Demonstrated ability to lead technical strategy, ensuring research code is scalable, reliable, and production-ready.
Advanced degree (MSc or PhD) in Computer Science, Machine Learning, Physics, Mathematics, or a related quantitative field.
Excellent communication skills, with the ability to articulate complex architectural decisions to both technical teams and leadership.
Preferred Qualifications
Background in the cybersecurity domain, specifically in developing AI/ML models to detect and prevent cyber attacks.
Deep cybersecurity expertise in non-AI fields, such as vulnerability research, reverse engineering, or low-level security systems development.
Experience with low-level performance engineering, including model quantization, pruning, and runtime frameworks like ONNX or TensorRT.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8715167
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29/06/2026
Location: Merkaz
Job Type: Full Time
abra is hiring a Microsoft Fabric Architect to join our Data & AI Division! Are you passionate about designing modern cloud data platforms and driving enterprise-scale architecture? Join Abra's Data & AI Division and play a key role in building secure, scalable, and automated data solutions using Microsoft Fabric and Azure. Responsibilities
* Design and implement enterprise-scale data platform architecture using Microsoft Fabric.
* Lead the design and implementation of CI/CD processes, Git integration, and deployment pipelines for Microsoft Fabric.
* Define and promote DevOps, security, governance, and architectural best practices.
* Design cloud-native data solutions leveraging Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Develop and maintain deployment automation using Azure DevOps, YAML Pipelines, ARM Templates, and PowerShell.
* Collaborate with Data Engineers, BI Developers, Architects, and business stakeholders to deliver high-quality, scalable solutions.
* Drive technical leadership, architectural standards, and continuous improvement across enterprise data platforms.
Requirements:
5+ years of experience in Azure cloud architecture, data platforms, DevOps, or related infrastructure roles. 2+ years of hands-on experience with Microsoft Fabric in a senior technical or architectural capacity.
* Proven experience designing and implementing Microsoft Fabric environments, including Git integration and deployment pipelines.
* Strong hands-on experience with Azure DevOps, including YAML Pipelines, ARM Templates, and CI/CD automation.
* Experience with Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, and Azure networking (VNet & Private Endpoints).
* Strong understanding of enterprise DevOps principles, cloud security, governance, and infrastructure automation.
* Experience with PowerShell for deployment automation in Azure and Microsoft Fabric.
This position is open to all candidates.
 
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