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Our Networking division is looking for an experienced NPI Engineer.

What you'll be doing:

Perform DFA for products and its related jigs.

Perform PFMEA for error-less implementation in a production line, while ongoingly managing product's quality in production line.

Develop and validate production process for each project type, striving for ideal robustness level prior HVM.

Real time-problem-solving of unknown engineering issues in the production line.

Integration and matrix management as product's engine and center key for success.

Establish new production lines at CMs sites from engineering POV, while leading CM's engineering parties to excellence.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

We are looking for a Director of Data Engineering to join our team. This is a Hybrid (Ramat Gan) role, reporting to the VP Engineering - Lakehouse in the Exposure Management & Security Operations department. In this role, you will lead multiple data engineering teams driving the strategy, architecture, and operation of a high-scale, multi-tenant cybersecurity data platform.

What youll do (Role Expectations)

Manage and mentor engineering managers and technical leads while aligning platform strategy with company goals and cross-functional partners
Engineer, maintain, and scale core data pipelines and data platform infrastructure, designing reliable ETL and ELT flows across databases, APIs, event streams, business systems, and data lakes
Oversee platform reliability, cost optimization, CI/CD pipelines, and enterprise-grade observability
Build scalable data solutions for internal teams as well as external, user-facing products
Partner with business teams, product stakeholders, and support teams to transform data needs into robust self-serve analytics and AI-assisted insights

Our Lab team in Israel Yokneam seeks a Practical Hardware Electronics/Test Engineer to join the IC Product Engineering Group. The team leads the development of networking infrastructure for our next-generation data centers focusing on accelerated performance while enabling optimized end to end GPU connectivity. We are looking for a hands-on and diligent Practical Engineer with strong lab skills, who enjoys working in a dynamic, multidisciplinary environment.

What you'll be doing:
Perform, execute and track stress flow, units acceptance, visual inspection, flow validation, debugging activities in the lab, document results, and clearly communicate findings with engineering teams
Document stress/test failures and communicate findings clearly to engineering teams
Operate and characterize lab equipment such as testers, environmental stress, HTOL ovens, oscilloscopes, power supplies, logic/spectrum analyzers, and multi-meters
Run ATE test program on tester, perform first line debug (like 2D Shmoo)
Address setup issues and troubleshoot these issues' resolution like sockets cleaning, pressure adjustments etc.
Perform HW acceptance, bring-up, validation, and problem-solving efforts within the testing environment
Demonstrate good understanding of LB schematics and design to aid debug.
Actively participate with multi-functional teams including Product Development Engineering to efficiently debug product failures and implement optimal solutions.

We are looking for a People Services Specialist to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Senior Manager, People Operations EMEA in the People & Culture department. This role supports our global People Services team and employees around the world by transforming regional processes, enhancing operational efficiency, and delivering exceptional support across the employee lifecycle.This is a 12 months fixed term contract.

What youll do (Role Expectations)

Provide a frustration-free employee experience through operational excellence and timely inquiry management

Operate as primary resource for employee requests through internal ticketing system (ServiceNow)

Manage daily administration of employee data in our internal HRIS and various support systems

Support cross-functional programs between operations, payroll, and internal P&C teams, while creating opportunities to transform current processes

Assist in the transformation of the People Ops department through project-based initiatives as the organization continues to scale

Required System Administrator
About this role:
The System Administrator is a one-man-show responsible for the execution of all IT activities, managing internal and customer-facing IT projects, including planning, coordinating and executing, and participating in multi-group projects.
Specific Responsibilities:
Be the key go-to person for IT needs / projects
Execute IT activities per company IT/security policies & workplan
Administer and manage AzureAD (Entra), Office 365, and Exchange Online
Maintain cloud storage privileges & configuration and backup of SharePoint, G-Suite, etc.
Manage endpoints using Intune, JAMF, and additional MDM tools
Provide IT support for end-users such as the company employees globally and external sub-contractors, service providers, and partners, including help-desk services
Manage the IT infrastructure of the IL office, including network infrastructure, working desks, conference meeting rooms, intercom, alarm & security cameras system, IoT equipment, etc.
Manage software/HW purchases & licenses and IT inventory of the company across offices
Work with different IT suppliers to perform infrastructure projects and for support escalation
Be part of the security incident response team
Establish and implement new IT processes.

Required QA Engineer
Responsibilities:
Be responsible for the quality of a consumer healthcare platform and connected medical devices used globally.
Design, execute, and maintain test plans and test cases for new and existing features.
Investigate complex issues, perform root cause analysis, and work closely with R&D teams to drive resolution.
Collaborate with Product, R&D, Clinical, and Support teams to ensure high-quality product releases.
Validate end-to-end workflows across cloud, mobile, web, and device components.
Contribute to defining effective testing approaches for a variety of system features and use cases.
Continuously identify opportunities to improve product quality, testing coverage, and QA processes.
Gain exposure to innovative medical technologies and help shape products that impact patients and healthcare providers worldwide.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality.

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.
Key Responsibilities:
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with our clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of TytoCare solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.