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This position requires a strong technical skill set, excellent problem-solving abilities, and a commitment to delivering exceptional customer service.
Responsibilities
Install and upgrade the customer environments with the company solution
Provide technical assistance to customers
Diagnose and troubleshoot software and hardware-related issues
Deliver solutions to resolve customer concerns effectively
Keep accurate records and document customer issues and resolutions
Collaborate with internal teams for efficient problem resolution

The Data Engineering team is a cross-functional team responsible for data integration, monitoring, and quality. This includes automating data flows, alerting, fetching, and checking across various stages of data transformation and projection.
Key Responsibilities
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Develop data architecture for data ingestion, validation, and processing.
Identify, design, and implement process improvements, such as automating manual tasks, optimizing data delivery, and redesigning infrastructure for enhanced scalability.
Create and maintain optimal data pipeline architecture using microservices.
Work with other members of the data team, including data architects, data analysts, and data scientists.
Key Takeaways
Use the tools and languages that are best suited to the job - Complete flexibility to problem-solving with novelty and creativity encouraged.
Be around very bright and lovely people.
Your intellectual curiosity and hard work contributions will be welcome to our culture of knowledge sharing, transparency, and shared fun and achievement.
Provide education and documentation to empower team members to make the most of technical resources.
Contribute to our software engineering culture of writing correct, maintainable, elegant, and testable code.
Utilize AWS services and tools such as S3, EventBridge, Athena, and DynamoDB to build a robust and scalable data architecture for data ingestion, processing, and storage.
Collaborate on data infrastructure that supports LLM-driven workflows - leveraging tools like Cursor to accelerate code development, enhance reproducibility, and streamline iteration on intelligent systems.

We are looking for a hands-on Senior DevOps Engineer with a strong cloud-native mindset to build, maintain, and evolve our highly scalable, highly-available cloud infrastructure. This role is pivotal in driving operational excellence, security, and automation across our entire engineering organization. You will promote communication, integration, and collaboration to significantly enhance our software development productivity and reliability. You'll work closely with engineering and product teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment-all while keeping reliability and security top of mind.
Responsibilities
Design, Automate, and Manage complex cloud infrastructure on AWS using best-in-class Infrastructure as Code (IaC) practices.
Lead the operation and enhancement of our production Kubernetes environments (EKS), focusing on automation, security, observability, and seamless CI/CD integration.
Drive continuous improvement across platform tooling, developer experience, and operational processes to meet our ambitious performance and uptime goals.
Implement and enforce security-first infrastructure patterns, including strong IAM, network segmentation, and secure secrets management.
Actively contribute to high-level technical design discussions and cross-functional architectural decision-making, ensuring solutions align with long-term platform strategy.

A leading defense-tech company, is looking for an Algorithms Developer to join our Data Fusion Team for a meaningful and mission-critical role in homeland defense, based at the company headquarters in Or Yehuda.
Job Description
Develop and implement algorithms for multi-sensor data fusion (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Implement and enhance advanced filtering techniques such as Kalman Filters.
Build and evaluate statistical sensor models across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop BIAS estimation algorithms for active and passive sensors (e.g., Radar, SIGINT).
Integrate and deploy algorithms into Real-Time / Near Real-Time systems.
Participate in field and laboratory tests, analyze performance, and produce technical reports.

A leading defense high-tech company, is seeking an experienced System Engineer specializing in Satellite Communications and RF
Responsibilities
Learn and become familiar with existing systems
Define system requirements and write specification and detailed design documents
Map and evaluate existing solutions (COTS systems or custom-developed solutions)
Provide engineering oversight and support throughout development processes
Work closely with subcontractors and suppliers
Manage configuration control and engineering documentation
Represent the systems from an engineering perspective מול internal and external stakeholders
Participate in design reviews and technical discussions.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

we are looking for a Embedded Systems Vulnerability Researcher.
As an Embedded Systems Vulnerability Researcher, you will operate at the cutting edge of security projects. Your mission is to identify, exploit, and mitigate security flaws in complex hardware/software ecosystems. You will bridge the gap between the digital and analog worlds, analyzing everything from low-level firmware to the electromagnetic spectrum.
Responsibilities:
Vulnerability Discovery: Perform deep-dive security analysis and "bug hunting" on proprietary embedded systems and RTOS.
Exploit Development: Create Proof-of-Concept (PoC) exploits for identified vulnerabilities, including memory corruption, logic flaws, etc.
Firmware Analysis: Conduct static and dynamic analysis of binary blobs using advanced reverse engineering suites.
Hardware Probing: Utilize JTAG, UART, and SWD interfaces to extract firmware, monitor execution, etc.
Tooling: Develop custom scripts and tools in Python, C, C++ to automate the research and exploitation pipeline.

Our SAP Department is seeking for an SAP ERP Project Manager. We are looking for a skilled SAP ERP Project Manager to lead large-scale SAP implementation and transformation projects, overseeing all project phases from business requirements gathering through deployment and ongoing support. This role requires extensive experience in SAP implementations, SAP S/4HANA environments, ERP project management, stakeholder management, and leading complex enterprise-wide projects. A full-time, hybrid position, based in Central Israel.
Key Responsibilities:
* Analyze existing business processes, systems, and requirements, and define future-state SAP solutions.
* Lead end-to-end SAP projects, including planning, design, implementation, testing, deployment, and support.
* Define project scope, implementation approach, timelines, resources, budgets, and deliverables.
* Coordinate and lead business users, IT teams, vendors, consultants, and stakeholders throughout the project lifecycle.
* Identify risks, issues, and optimization opportunities, and recommend effective solutions.
* Monitor project progress, prepare status reports, and ensure delivery against scope, schedule, budget, and quality objectives.
* Prepare technical specifications, project documentation, and procurement-related materials.
* Present project status and recommendations to management and steering committees.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. As a Software Engineer in Test at INFINIDAT, you need to be innovative and passionate about quality. You will continuously design creative ways to break software and identify potential bugs. In this role, you will be responsible for driving test development and infrastructure of an enterprise-grade, distributed storage system and build automated test suites.

Responsibilities:

* Develop complex test scenarios and tools using our massive infrastructure in Python
* Build and design infrastructures, tools and utilities
* Take an active role in product architecture and design decisions
* Participate in all stages of the development process - from design to delivery
* Design test plans for large and complex features in the product
* Investigate and solve hard-to-find problems such as race conditions, delicate timing issues and problems happening only at large scales or high performance
* Sign-off on official product releases: you'll have the authority to say "not good enough!"

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technial direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.