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לפני 1 שעות
Location: Netanya
Job Type: Full Time
We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated TEST Equipment (ATE) environments.

In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system -level testing, and radar calibration of advanced radar systems.

Key Responsibilities:

Design and maintain the ATE database and software infrastructure.
Develop data pipelines, APIs, and integrations for ATE systems.
Build BI dashboards and reports for production and TEST data.
Ensure data integrity, traceability, backup, and availability.
Support deployment across production sites and secured networks.
Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.
Requirements:
B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field.
At least 3 years of hands-on experience in database, BI, data engineering, or software infrastructure.
Strong Python and SQL skills, including database design and performance optimization.
Experience with ETL /ELT, APIs, data integration, and BI tools-preferably Power BI.
Experience deploying and supporting data solutions in production environments.
Strong system -oriented thinking, troubleshooting, communication, and documentation skills.
Knowledge CI/CD pipelines, automated testing, packaging, and software deployment - Advantage
Knowledge in Git, including branching strategies, code reviews, release management, and serving as an ATE team Git Master - Advantage
This position is open to all candidates.
 
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לפני 1 שעות
דרושים באלביט מערכות
Location: Netanya
Job Type: Full Time
To the company's site in Netanya, we are looking for a Senior or Lead DevOps Engineer to join our team and drive the design, implementation, and optimization of scalable infrastructure and CI/CD pipelines
תחומי אחריות
Architect and manage cloud-native and hybrid infrastructure using Kubernetes, Terraform, Helm, and Ansible
Lead DevOps practices across CI/CD, GitOps, Infrastructure as Code (IaC)
Implement and maintain observability tools such as Prometheus, Grafana, ELK/EFK
Support SBOM and vulnerability detection processes for secure software delivery
Requirements:
השכלה
Software Engineering or Computer Science

ניסיון מקצועי
At least 5 years of DevOps experience in production environments
Deep expertise in Azure, OnPrem, and hybrid cloud setups
Strong knowledge of Kubernetes (AKS/OpenShift), Terraform, Helm, GitOps (ArgoCD)
Experience with CI/CD tools: Jenkins, GitHub Actions, GitLab
Proficiency in Python, Bash, PowerShell for scripting and automation
Proficiency in at least two of the following:.Net, Golang, Python, Node
Familiarity with SBOM, vulnerability scanning, and secure container practices
Hands-on experience with Docker and container orchestration
Quick learner, able to adapt to new tool and environments


**פניות מתאימות בלבד יענו
This position is open to all candidates.
 
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10/09/2026
Location: Netanya
Job Type: Full Time
We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated Test Equipment (ATE) environments. In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system-level testing, and radar calibration of advanced radar systems. Key Responsibilities:
* Design and maintain the ATE database and software infrastructure.
* Develop data pipelines, APIs, and integrations for ATE systems.
* Build BI dashboards and reports for production and test data.
* Ensure data integrity, traceability, backup, and availability.
* Support deployment across production sites and secured networks.
* Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.
Requirements:
* B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field.
* At least 3 years of hands-on experience in database, BI, data engineering, or software infrastructure.
* Strong Python and SQL skills, including database design and performance optimization.
* Experience with ETL/ELT, APIs, data integration, and BI tools—preferably Power BI.
* Experience deploying and supporting data solutions in production environments.
* Strong system-oriented thinking, troubleshooting, communication, and documentation skills.
* Knowledge CI/CD pipelines, automated testing, packaging, and software deployment - Advantage
* Knowledge in Git, including branching strategies, code reviews, release management, and serving as an ATE team Git Master - Advantage
This position is open to all candidates.
 
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19/08/2026
Location: Netanya
Job Type: Full Time
Were looking for a Principal Backend & Data Engineer to own and evolve the core data-intensive backend architecture of our AI platform. This is a senior individual contributor role with broad architectural responsibility and deep hands-on impact.

You will be a technical authority in building scalable, high-performance backend and data systems that power our AI research engine - working closely with AI scientists, platform engineers, and product leaders. Beyond implementation, you will define technical direction, set engineering standards, and influence how we build and scale data-driven AI systems across the organization.

What Youll Do
Architecture & Technical Ownership

Own the architecture of core backend and data systems that support large-scale, AI-driven computation and inference.
Design and evolve high-performance analytical processing layers handling complex data workloads at scale.
Make and drive long-term architectural decisions across backend, data, and AI integration domains.
Define standards and best practices for performance, scalability, reliability, and data correctness.
Backend & Data Engineering

Design, implement, and optimize data-intensive backend services using Python.
Build and evolve analytical compute pipelines using technologies such as Polars, DuckDB, AirFlow, Iceberg, Spark and other ingestion and processing frameworks.
Collaborate closely with AI scientists to productionize algorithms and embed advanced intelligence into the platform.
Platform & Infrastructure

Architect and maintain containerized systems using Docker and Kubernetes.
Ensure systems are observable, debuggable, and operable in production environments.
Drive performance tuning and cost-efficiency across compute-heavy workloads.
Technical Leadership

Act as a technical authority and thought leader within the engineering organization.
Mentor senior engineers through design reviews, architectural guidance, and hands-on collaboration.
Serve as a force multiplier by unblocking complex technical challenges and raising the overall engineering bar.
Requirements:
What Were Looking For
A passion for building cutting-edge AI and data platforms that solve real, high-impact business problems.
Significant experience (8+ years) designing, building, and operating large-scale backend and data-intensive systems in production.
Deep Hands-on expertise in Python and strong understanding of analytical data processing and distributed systems.
Proven track record of owning and evolving complex system architectures over time.
Strong experience with containerization and orchestration technologies (Docker, Kubernetes).
Experience with Infrastructure-as-Code and modern delivery pipelines (e.g., Terraform, ArgoCD).
Demonstrated technical leadership through architectural ownership, mentorship, and influence across teams.
Comfort working at the intersection of backend engineering, data engineering, and AI systems.
This position is open to all candidates.
 
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10/09/2026
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.

Responsibilities:

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:
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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6 ימים
חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.
Requirements:
Bachelors Degree in a Science or Engineering related discipline.
Scripting and coding skills and experience with one of the following: JavaScript / Python / PHP / Go / Java / equivalent.
Good understanding of databases, data structures with emphasize on RDBMS (SQL).
Practical Experience in Software QA - Advantage.
Experience using Playwright, Jest, Selenium, Postman and similar tools - Advantage.
Thorough and diligent personality.
Ability to multi-task and meet deadlines.
Able to work well independently but must also work as part of a team.
Strong organizational management and planning skills.
Good interpersonal, written, and oral communication skills in English.
Personal Qualities:
Passionate about learning and always seeking opportunities to expand your knowledge
A self-starter with great instincts and the ability to discern upcoming needs
Outgoing and personable and takes pride in being a positive, helpful presence around the office
A team player with the time management and organizational skills to work independently as well
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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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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31/08/2026
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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10/09/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.
Requirements:
BSc or Master's degree in Computer Science / Math / Engineering
At least 5 years of commercial experience in Python
At least 3 years hands-on MLOps commercial experience
Experience working with pipeline orchestrators (e.g., Dagster, Airflow)
Experience with distributed computing systems
Experience with Docker and Kubernetes or other scalable containerized solutions
Commercial experience in writing and maintaining scalable ML systems
Fluent in English, both written and spoken
Team player, ready to help others
This position is open to all candidates.
 
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Location: Netanya
Job Type: Full Time
You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.
Requirements:
7+ years of professional software engineering experience.
Strong TypeScript - the primary language across our backend, frontend, and agent code.
Proficiency in modern UI frameworks like React, Angular, or Vue, combined with a strong understanding of JavaScript.
A minimum of 3 years of production experience in backend development using Node.js.
Production experience with LLM-based applications, including prompt engineering, agent/tool-calling design, and RAG.
Hands-on experience with an agent framework (e.g., LangGraph, LangChain).
Vector databases and semantic search with embedding-based retrieval.
Cloud experience on AWS - compute, storage, IAM, and managed LLM services (e.g., Bedrock or equivalent).
Solid web fundamentals - REST APIs, WebSockets, auth (token/OIDC), and modern React.
Docker and standard CI/CD practices.
This position is open to all candidates.
 
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