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06/07/2026
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19/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Required Data Engineering Team Lead
As a Data Engineering Team Lead, you will:
Design and implement observability solutions for monitoring, overseeing and investigating the security and health of the companys products and infrastructure.
Architect, build and maintain data platform and pipeline tools for ingestion, streaming, transformation and storage.
Partner with security, platform and engineering teams to investigate incidents, support OPSEC research and produce forensic-ready data analysis.
Develop interactive dashboards, automated reporting and alerting workflows that translate complex production data into actionable insights.
Drive strategic improvements in how data shapes OPSEC policies, research, incident response and cross-team risk mitigation efforts.
Requirements:
2+ years of demonstrated experience leading a technical team.
Proven experience designing and operating enterprise-scale data platforms/lakes/warehouses.
Deep familiarity with big data ecosystems and monitoring/log analysis tools used for security telemetry, distributed tracing, and incident response.
Strong software engineering fundamentals with high level proficiency in one or more programing languages (Python, Java, Go, Rust, etc.).
Proficiency in system design, development tools and best practices for building scalable and maintainable solutions.
It would be great if you also have:
Experience applying AI to observability or security workflows (e.g., LLM-powered agents, MCP server architecture, anomaly detection or automated log parsing).
Production experience with Elasticsearch and Splunk for log aggregation, full-text search and security analytics.
Background working directly with cybersecurity data sources.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.
What You Will Build:
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.
דרישות:
5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP).
Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime - not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems.
Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so.
Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization.
Demonstrated expertise in automated testing, CI/CD, and observability.
High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role.
Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples.
Preferred
Experience shipping ML-Ops powered s המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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5 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.
Requirements:
M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related quantitative field.
7+ years of hands-on experience building and deploying ML/AI solutions in production, including 2+ years leading or growing a data science/ML team.
Proven experience designing and shipping GenAI-based product features and multi-agent systems using modern orchestration frameworks such as LangGraph, CrewAI, or AutoGen, including RAG, vector databases, and tool/function calling.
Practical experience with the agentic production stack: observability/eval tooling (e.g., Langfuse), durable workflow orchestration, and typed service design.
Strong foundation in classical machine learning - supervised/unsupervised methods, feature engineering, model evaluation - and sound judgment for when to use classical models over LLMs.
Advantage: Demonstrated experience fine-tuning and deploying small/large language models, including SFT and preference/RL-based methods such as GRPO or DPO.
Advantage: Experience with model optimization and efficient serving: quantization, pruning, LoRA/QLoRA, and high-throughput inference frameworks such as vLLM.
Advantage: Experience designing end-to-end ML pipelines (versioning, training/tuning, deployment, testing, monitoring) on cloud-native infrastructure (Kubernetes, GCP/AWS).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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07/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
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. We are looking for a Tech Lead to join our System Validation & Verification team - someone who combines deep hands-on automation expertise with the leadership skills to drive technical direction, mentor engineers, and own end-to-end quality strategy for a complex, enterprise-grade distributed storage system. This role is centered on test design and development - the ideal candidate is someone whose craft is writing and owning tests for complex product features, and elevating a team to do the same at a high level. If you thrive at the intersection of architecture, code, and quality - and get energized by the challenge of making large-scale systems provably correct - this role is for you.

Responsibilities:

* Lead the technical direction of the automation group: define best practices, set coding standards, and guide architectural decisions for testing methodologies and new feature implementations
* Remain hands-on: actively write, review, and contribute to test code alongside the team, leading by example rather than by title
* Design detailed test plans for new features, and review and approve implementation designs proposed by team members for how those features will be tested
* Engage with R&D and Product from the earliest stages of feature development, providing input on testability, edge cases, and quality requirements before implementation begins
* Design and own test strategies for large, cross-cutting features involving multiple services and components working together
* Mentor and grow team members, conducting code reviews and elevating the team's engineering quality
* Work closely with development, product, and architecture teams to influence design decisions from a quality and testability standpoint
* Drive root cause investigations of complex, hard-to-reproduce issues - race conditions, timing-sensitive failures, and problems that only surface at scale
* Own release sign-off decisions - you'll have the authority to say "not good enough"
* Identify gaps in test coverage across service boundaries and drive initiatives to close them
Requirements:
* A test developer at heart - someone who has spent their career writing and designing tests for complex product features, not building CI pipelines or test frameworks
* At least 10 years of experience developing automated tests for complex, integrated SW/HW products
* Demonstrated experience leading or technically mentoring an automation or QA team
* Strong Python development skills - you write production-quality automation code, not just scripts- MUST!
* Deep understanding of complex, multi-service distributed systems and how failures propagate across component boundaries
* Proven ability to design test strategies at the system level, not just feature level
* Excellent diagnostic and troubleshooting skills, especially for non-deterministic or environment-sensitive failures
* Strong communication skills - able to represent quality concerns clearly to engineering and product leadership
* Engineering degree or equivalent experience Preferred Qualifications
* Background in enterprise storage (SAN / NAS / Object Storage) - a significant advantage
* Hands-on experience with file protocols (SMB, NFS) or object storage protocols (S3)
* Linux internals and networking knowledge
* Familiarity with storage architecture concepts (replication, snapshots, caching, RAID, data protection)
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise soft
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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16/08/2026
חברה חסויה
Location: Herzliya
Job Type: More than one
we are looking for a R&D Architect Director.
What youll do:
Drive new technologies and frameworks - extending capacity & effectiveness of teams, capacity & scalability of the product - for both server and client side
Be involved in all key technology and methodological aspects of development and testing
Take an active role and lead key product enhancements, per product-management and stakeholders requirements, and select the right development solutions to address the requirements in terms of functionality, reliability, testability, and scalability
Be involved in business needs and operational flows to come up with the right technology solutions
Mentor and lead R&D teams in design reviews, coding standards, and architectural designs
Drive AI adoption across R&D - both as a development accelerator (coding tools, agents, MCPs) and as a capability embedded in the product
Requirements:
At least 10 years software development experience, at least 2 years of experience as architect
Understands system engineering and architecture, proven experience in scale, system redundancy solutions, and performance
Experience in high-capacity and high-reliability products in multiple development languages and environments, multi-threading, and more
Experience with SQL Server
Understands Microservice, and event-based design and SAGA concepts
Error tolerance and zero data loss concepts
Experience delivering systems operated globally
Meaningful hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) - architecting and operating production workloads at scale
Experience architecting AI-enabled systems - LLM integration patterns, RAG, agentic/multi-step workflows, evals, and production concerns specific to AI (latency, cost, fallback, hallucination control)
AI fluent - daily, hands-on use of AI coding tools with clear judgment on when to trust output vs. rewrite it; goes beyond using AI to configuring it (custom instructions, rules, MCPs, tools); builds workflows and skills, not just prompts
Strong attention to business needs and converting them into working, effective products
Ability to adapt to various technologies and research new concepts
A true team player, able to both hold and drive a vision - and also to buy into it
Proactive attitude and does what it takes to get things done
Connected and updated in the latest & greatest of technology
A passion for technology!
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Herzliya
Job Type: Full Time
We are looking for a Data Engineer to join our usage metering & billing platform team! with a strong background in writing ETLs and complicated data processing pipelines. Youre deeply familiar with modern data processing stack (especially Spark, Hadoop and Airflow), have a strong problem-solving attitude and, most importantly, youre passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit.

What youll do:
Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development.
Improve the scalability and performance of existing data pipelines.
Delve into existing pipelines and business logic, target weaknesses and add functionality.
Mentor, advise, and work collaboratively within the Biz Data & Dev group, with other development teams, and with all other business teams of the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.
Collaborate on software-oriented projects as needed, bridging data engineering expertise with backend development work in a cross-functional environment.
Requirements:
3-5 years of experience in data engineering in Big Data environments
2+ years of experience with Spark and its ecosystem.
Experience using JVM stack, build tools, and environment (We mostly use Scala).
Experience with public cloud environments (AWS will be a bonus), Hadoop ecosystem, SQL and NoSQL databases.
High proficiency with Python and at least one JVM-based language (Scala, Java, or Kotlin).
Proficiency with SQL and experience with ETL and data modeling and development.
Positive attitude and willingness to take ownership.
A mindset of continuous learning and the desire to try new things.
Ability to see the "big picture" and to understand the business side of things.
Hands-on experience with modern AI tools (e.g., LLMs, code assistants) and a proactive curiosity to evaluate and integrate AI-driven solutions into data engineering practices- Advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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16/08/2026
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an exceptional Principal Product Manager to help build Core AI Platform-the trusted, scalable AI operating layer enabling Product, Engineering, and Business teams to adopt AI safely and effectively.
Reporting to the Senior Product Director, Core AI Platform, you will take part in translating strategy into concrete roadmaps and capabilities, and partner deeply with Engineering, Data, Architecture, Security, and business stakeholders to deliver reusable AI capabilities across .
This role is ideal for a senior, hands-on product manager, AI savvy, who combines technical depth, exceptional product sense, execution excellence, and the ability to drive adoption across complex organizations.
What you'll do:
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, and creating agentic customer experiences across products.
You are not building isolated AI features for one product. You are building platform capabilities, reusable patterns, and product experiences that help teams across ship trusted AI faster, safer, and at scale.
Own the roadmap for one or more Core AI Platform areas.
Translate ambiguous business and technical needs into clear requirements, milestones, and measurable outcomes.
Define and deliver scalable, secure, compliant platform capabilities across AI infrastructure, orchestration, governance, evaluation, responsible AI, APIs, and reusable services.
Partner hands-on with Engineering, Data, Security, and Architecture to make practical build, buy, partner, and integrate calls in your domain.
Lead AI-native solutions that show how the platform accelerates product development, engineering productivity, and workflow automation.
Turn early solutions into reusable patterns, templates, and components teams can adopt.
Drive and track adoption of the tools and services you will build.
Requirements:
7+ years of Product Management experience, with meaningful ownership of technical, platform, developer, AI, data, infrastructure, or enterprise products.
Proven ability to define product requirements, roadmaps, and execution plans in highly technical environments.
Strong understanding of modern AI technologies, including LLMs, AI agents, agentic workflows, RAG, AI evaluation, governance, and AI platform architectures.
Experience partnering hands-on with Engineering, Data, Infrastructure, Security, and Architecture teams.
Demonstrated success driving adoption of platform capabilities across complex, cross-functional organizations.
A senior individual contributor who can lead complex product domains from discovery through launch, adoption, and iteration.
A systems thinker who connects technology, product, governance, user experience, and business outcomes.
Able to influence senior stakeholders and technical teams without direct authority, especially in ambiguous, fast-moving environments.
Execution-oriented, structured, and comfortable moving between strategy, detailed requirements, prioritization, delivery, and adoption.
Focused on building reusable platform capabilities rather than one-off point solutions.
Advantage:
AI evaluation frameworks
Developer platforms and APIs
Cloud platforms
Enterprise SaaS
FinTech
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Glil Yam and Herzliya
Job Type: Full Time
Join us as a Tech Lead - Full Stack on our Software Engineering team in Glil Yam to do the best work of your career and make a profound social impact.
What you'll achieve
As a Tech Lead - Full Stack, you will be responsible for leading the design, development, and evolution of data orchestration modules and AI-driven applications. You will work closely with engineering, data, ML, and GenAI teams to build scalable, reliable, and high-performing systems that drive business impact and innovation.
You will:
Lead the technical design and implementation of data-intensive, AI-powered applications and platform capabilities.
Own end-to-end development across the technology stack, driving architecture, code quality, and engineering best practices.
Collaborate with software engineers, data scientists, and ML engineers to deliver scalable and reliable solutions.
Troubleshoot and resolve complex production issues across multiple domains and services.
Drive technical excellence through hands-on development, code reviews, mentoring, and continuous improvement initiatives.
Requirements:
Bachelors degree in Computer Science or equivalent practical experience.
7+ years of backend development experience, including 5+ years designing and building high-scale, data-intensive applications and AI systems.
Strong expertise in TypeScript and Node.js, with hands-on experience using modern web frameworks such as React or Vue.js.
Experience with AI and data orchestration frameworks (e.g., MLflow, Airflow) and containerized environments using Docker and Kubernetes.
Strong ownership, problem-solving, debugging, communication, and collaboration skills, with experience working in fast-paced, AI-first development environments.
Desirable Requirements:
Experience leading technical initiatives, mentoring engineers, and influencing architectural decisions.
Exposure to Generative AI technologies, LLM-based applications, and modern MLOps practices.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Project & Product Manager to join our team and lead end-to-end implementation, configuration, specification, and development projects for retail and ERP systems, with an emphasis on Odoo, for customers across fashion retail, supermarkets, fuel stations, and general retail.

This role combines end-to-end project management, product and business-process specification, day-to-day work with customers and technology teams, and daily use of advanced AI tools, especially Claude, to speed up specification work, document writing, requirements analysis, and even support for development, integrations, and customizations.

Your key responsibilities will include:

Project Management
Manage end-to-end implementation projects at customer sites, from kickoff through Go-Live and post-launch support - work plans, timelines, prioritization, and resources.
Track progress, manage risks, identify blockers early, and drive solutions.
Manage customers, vendors, and development/implementation/support teams; lead status meetings and follow-up on decisions and tasks.
Report ongoing status to management and customers: progress, risks, gaps, and action plans.

Product & Business Process Specification
Lead specification with customers: business needs, current-process mapping, and future-process planning.
Write BRDs, PRDs, user stories, process docs, and functional specs, translating complex requirements into clear, actionable solutions that balance customer needs, system constraints, product, and dev capacity.
Specify loyalty processes (benefits, coupons, point accrual/redemption) and their impact on POS, ERP, promotions, and reporting.
Partner with development/implementation to ensure the built solution matches spec; support testing, UAT, customer validation, and Go-Live prep.

Working with Advanced AI Tools
Use Claude and other AI tools daily to draft documents, break down requirements, build user stories and work plans, and analyze processes.
Use Claude to support development of customer solutions - automations, integrations, reports, workflow and configuration changes.
Write strong prompts, validate outputs professionally, and use AI critically - as an accelerator, not a substitute for judgment.
Requirements:
What Makes You a Great Fit
3+ years managing projects in information systems, ERP, software, or systems implementation.
Proven experience writing specs, user stories, BRDs, PRDs, or similar documents.
Familiarity with AI tools like Claude or ChatGPT.
Experience with Odoo (implementation, configuration, specification, or leading projects) - big plus.
Experience in retail projects - fashion, supermarkets, fuel stations, or POS - big plus.
Strong independent project management: organized, accountable, and able to drive things forward.
Excellent written and verbal communication in Hebrew and English.
Strong interpersonal skills across customer types, from large chains to family businesses.
Analytical, detail-oriented, and a strong problem-solver.
Able to work under pressure and manage several projects in parallel.

Nice-to-Have Skills
Experience with other ERP systems (SAP, Priority, MS Dynamics BC, or similar).
Experience with loyalty programs, coupons, gift cards, or CRM/marketing automation in retail.
Experience running specification workshops, trainings, and Go-Live processes with business customers.
Hands-on use of AI tools for specification, documentation, analysis, or development.
Basic SQL and data-structure knowledge.
Basic programming/logic understanding (Python, JavaScript, or similar).
Understanding of APIs, integrations, reports, and system structures.
Relevant bachelors degree (industrial engineering & management, information systems, business, CS, or similar) - significant hands-on experience can substitute.
This position is open to all candidates.
 
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2 ימים
Location: Herzliya
Job Type: Full Time
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. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group.

Responsibilities:

* Lead a team of 2-8 developers
* C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment.
* Technical-related aspects of Infinidat’s core component.
* Filesystem IO flow performance improvements.
* High level & detailed design of new features.
* Legacy code maintenance and refactoring.
Requirements:
* At least 5 years of proven experience in C++ over Linux. Experience with Go or Python is also relevant.
* Proven experience as development team leader or manager
* A strong problem-solver along with the ability to work independently.
* A leader striving to build a strong and independent team.
* B.Sc. in computer science/computer engineering from a known university. Advantages:
* Experience in clustered and performance-oriented development.
* Previous knowledge and experience with storage devices and FS protocols (NFS, NAS, SMB, CIFS)
* Experience managing teams in SCRUM and Agile methods.
?About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!
This position is open to all candidates.
 
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