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חברה חסויה
Location: Netanya
Job Type: Full Time
As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.
Requirements:
12+ years of hands-on software engineering experience
7+ years of experience in engineering technical leadership or management as an architect, team lead, or tech lead
System-wide knowledge of building and scaling a SaaS product
Proven proficiency in JS / TypeScript.
Strong analytical skills to translate business requirements into technical design
Production-grade SaaS experience
Deep expertise in AWS cloud environments
BS degree in Computer Science, Software Engineering, or related domains
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.
Requirements:
Requirements
- BSc or Master's degree in Computer Science, Mathematics, or Engineering.

- At least 5 years of commercial experience in Python.

- At least 3 years of hands-on commercial MLOps experience in production (not side projects).

- Experience managing or leading a team of engineers, with ownership of both people and delivery.

- Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).

- Experience with pipeline orchestrators such as Dagster or Airflow.

- Experience with a major cloud provider such as GCP, AWS, or Azure.

- Experience with distributed computing systems.

- Experience with Docker.

- Experience with Kubernetes.

- Commercial experience writing and maintaining scalable ML systems.

- Fluent in English, both written and spoken.
This position is open to all candidates.
 
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18/08/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
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
Requirements:
MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related field
7+ years of experience developing algorithms or applying machine learning to real-world problems
3+ years of experience leading \ managing team members
Strong hands-on experience in machine learning and deep learning
Proven experience in computer vision and/or signal processing
Experience with ML frameworks such as PyTorch, TensorFlow/Keras, or similar
Solid understanding of taking models from research to production
Strong problem-solving skills and ability to approach open-ended challenges
Excellent communication and collaboration skills
Experience in digital health / medical devices (an advantage)
Experience working with physiological or clinical data (an advantage)
This position is open to all candidates.
 
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13/08/2026
חברה חסויה
Location: Netanya and Beit She'An
Job Type: Full Time
We are looking for an experienced and leadership-oriented ATE Software team leader to lead our software ATE development team. In this role, you will manage a team of software engineers, overseeing the design and execution of advanced ATE software for electronic cards and calibration systems used in our cutting-edge AESA radar technology The ideal candidate will combine strong software management skills with a deep understanding of RF systems and hardware-software integration. Key Responsibilities:
* Lead, mentor, and manage a team of ATE software engineers.
* Lead the design and development of automated TEST software for electronic cards and radar calibration.
* Oversee the full software development lifecycle, from requirements definition to deployment on the production line.
* Collaborate closely with Hardware, system, and RF engineers to ensure seamless integration of software with complex testing equipment.
* Drive technical excellence, code quality, and the implementation of best practices within the team.
* Manage project timelines, milestones, and resource allocation to meet delivery goals.

The position is based in Netanya, with occasional travel required to the production facility in Beit She'an.
Requirements:
* B.Sc. in Computer Science, Electrical Engineering, or a related technical field.
* Proven experience (3+ years) in managing a team of at least 5-6 engineers - Must.
* At least 5 years of hands-on experience in Python development, specifically for hardware/ system control.
* Strong technical background in RF systems and practical experience with RF hardware/ TEST equipment.
* Proven experience in driver development and working with hardware interfaces (Ethernet, TCP/IP, etc.).
*  system -oriented thinker with the ability to troubleshoot complex multidisciplinary failures.
* Excellent leadership, communication, and interpersonal skills.
* Experience in writing technical documentation and TEST plans. 
This position is open to all candidates.
 
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Location: Netanya
Job Type: Full Time
We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business.

We thrive on innovation and seek a Senior Data Infra Engineer to help us build and scale the data infrastructure that powers our insights and analytics.
This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.

What will you do?
As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.
Requirements:
5+ years of data engineering experience, building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads).
Hands-on production experience with Apache Spark and distributed data processing frameworks such as Flink, Hive, or Trino. Strong understanding of large-scale batch and streaming pipelines, including performance tuning and troubleshooting. Language is not a filter: Scala, Python, or Java are all fine. What matters is that you can debug and ship production Spark code, not which language you write it in
Production experience building and operating data solutions on GCP or AWS, including cloud-native services such as BigQuery, Dataproc, GCS, S3, EMR, or Redshift. Experience across the full project lifecycle is preferred.
Production experience with Kafka or Kafka-compatible streaming platforms, including the development, operation, and troubleshooting of real-time data pipelines, as well as debugging production incidents involving consumer lag, partition rebalancing, or data loss.
Strong understanding of data warehouse and data lake concepts, including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are seeking a highly motivated and experienced Team Leader to join our R&D group, and be responsible for planning, coordinating and leading activities across the full delivery lifecycle, to ensure successful deliveries.To join us, you need to demonstrate the ability for hands-on leadership and ensure you can offer guidance and support, as well as assist developers at the code level.

As an R&D Team Leader , you will...
Lead a high-performing team of 6-8 developers working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from initial architecture and design to production release.
Proactively identify and mitigate risks and bottlenecks, driving cross-functional stakeholders to deliver on time without compromising quality.
Make key technical and strategic decisions to align engineering efforts with business impact.
Requirements:
Experience: At least 3-4 years of technical leadership experience, paired with 10-12+ years of hands-on software engineering experience.
Leadership Skills: Proven ability to lead, coach, mentor, and influence highly skilled developers.
Technical Expertise: Deep expertise in Java, Spring, Maven, and related frameworks.
Go Experience: Hands-on experience with Go (Golang) is a strong advantage.
AI-Assisted Development: Experience incorporating agentic AI tools across the entire software development lifecycle.
Systems Architecture: A strong background in the architecture and implementation of scalable, concurrent, low-latency, fault-tolerant distributed systems.
Delivery & Risk Management: A strong track record of managing complex software projects, hitting key milestones, and pre-emptively resolving technical challenges.
Adaptability: A thriving mindset in a fast-paced, context-switching, and high-driven environment.
This position is open to all candidates.
 
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Location: Netanya
Job Type: Full Time and Hybrid work
we are looking for a Software Engineer Technical Leader.
As a Software Engineering Technical Leader, you will drive the technical vision and execution for complex security policy and access solutions that safeguard enterprise networks globally.
You will leverage your deep expertise in systems programming using C, C++, and Java to architect and develop robust, scalable software. By providing technical leadership, you will mentor peers, guide architectural decisions, and foster a culture of innovation and continuous improvement within the team. Your work will directly contribute to mission by ensuring our network access solutions are secure, programmable, and highly reliable. You will also champion software programmability and integrate automation and orchestration practices to streamline development and enhance product performance, ultimately empowering our customers to connect with confidence.
Requirements:
BA in Computer Science or related field
8+ years of software engineering experience in systems programming with complex codebases using C, C++, or Java
3+ years of experience providing technical leadership and mentoring engineering teams Experience in software programmability and developing scalable software architectures
Experience implementing automation and orchestration within the software development lifecycle
Preferred Qualifications:
Understanding of network security, certificate validation, and threat modeling
Hands-on experience with cryptography, TLS internals, or Post Quantum Cryptography (PQC)
Hands-on experience with AI coding
Understanding of modern attack methods
Excellent communication skills with the ability to articulate design choices to cross-functional partners
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
we are looking for a talented R&D Team Leader to join our innovative development team. As a vital part of our mission to deliver leading security solutions, you will contribute to the development of security products that ensure the safety and integrity of our customers' software throughout the entire lifecycle, from code development to runtime operations. If you thrive in dynamic environments, take ownership of features from end to end, and are eager to mentor and share knowledge with the team, this is the role for you!

To join us, you should demonstrate hands-on leadership while providing guidance and support, as well as assisting developers at the code level.

As an R&D Team Leader Security, you will...
Lead a team of 4-6 developers, working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from design to release.
Ensure that risks and issues are identified and managed closely, while driving all stakeholders to deliver on time and to the required quality standards.
Make key decisions to ensure the right effort for the successful implementation of all initiatives.
Requirements:
At least 3 years of experience as a leader and at least 8 years as an engineer.
Experience in managing highly-skilled developers, and the ability to lead, coach, guide, and influence them.
Proven experience in Python/Go/Java.
Experience in developing scalable, concurrent, low-latency, fault-tolerant systems.
Experience in SaaS/Cloud/Microservices architecture.
Strong track record of leading and managing the delivery of software development projects, meeting key milestones, and overcoming challenges.
Previous experience in both architecture and implementation-level software design of high-scale distributed systems.
Ability to manage, track, and identify risks, bottlenecks, and challenges ahead of time, and oversee technical coordination to resolve them.
Willingness to work with a driven team in a fast-paced, context-switching environment.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
This role sits at the intersection of engineering, product, and the global developer community. Youll translate technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into R&D and business teams to influence product direction.

As a Developer Advocate you will:
Represent across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs
Requirements:
Bachelors degree in CS, Software Engineering, Cybersecurity, or a related field (or equivalent experience)
8 years of hands-on experience as a Software Engineer, DevOps Engineer, Security Engineer, Researcher, Architect, or similar technical role
Proven experience presenting technical topics to developers or technical audiences
Strong writing and storytelling ability around complex concepts
Deep understanding of the DevOps / DevSecOps ecosystem, software supply chain, CI/CD workflows, and modern developer tooling
Ability to communicate clearly with developers, leaders, customers, and community members
Familiarity with key developer and professional social platforms (e.g., LinkedIn, Reddit, Twitter/X, Slack, Discord) for community engagement and content amplification
Comfortable setting goals, executing independently, and measuring impact
Genuine enthusiasm for engaging communities, learning in public, and amplifying real developer value
A willingness to travel to conferences, customer events, and community gatherings
This position is open to all candidates.
 
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30/07/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.
Requirements:
5+ years of hands-on experience in data science, ML operations, or applied ML support.
Proficiency in Python and standard data/ML libraries (Pandas/Polars, NumPy, Scikit-learn, SQL; experience with PyTorch or TensorFlow is a plus).
Strong data visualization and exploratory data analysis skills for monitoring and debugging pipelines.
Experience with time-series data and feature engineering.
Familiarity with explainability tools and model monitoring best practices.
Strong problem-solving skills with the ability to troubleshoot across data, code, and model workflows.
Excellent communication skills to summarize findings for both technical and non-technical audiences.
Experience with cloud-based ML platforms - preferably GCP
Familiarity with containerization (Docker), K8s, CI/CD workflows, or ML observability tools.
Familiarity with orchestration tools such as Airflow, Kedro or Dagster is a plus.
Prior exposure to demand forecasting, pricing, or revenue management.
Bachelor's or Master's in Computer Science, Machine Learning, Statistics, Engineering or a relevant field.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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