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Requirements:
7+ years of experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
Ability to build software delivery pipelines with Docker, npm, Java, Pypi, etc., with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration
Good understanding of infrastructure & operations - storage, network, computer, security, cloud (public, on-prem)
Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes
Hands-on experience in Linux - Mandatory
Hands-on experience with cloud infrastructure - AWS / Azure / GCP - Mandatory
Experience with customer-facing roles with great interpersonal and customer service-oriented skills
Experience with server-side software on-premise and in the cloud
Experience with Software Architecture design and product development is a plus
Uncompromising will to learn
Open Source state-of-mind
Active security clearance is an advantage; chosen candidates will need to complete a security assessment.

Requirements:
B.Sc in Mechanical Engineering from an accredited university.
2+ years of experience as a team manager with multidiscipline knowledge and capabilities
Soft skills ability to create an engaging relationship , strong communication skills, problem-solving abilities, leadership qualities.
Hard skills: High level of technical knowledge
Fluent English
Full time position located in Yokneam

Requirements:
5+ years of relevant DevOps experience in large-scale production environments
5+ years of hands-on experience in network architecture and technical problem-solving in the area of Nginx and Ingress controllers and proxies
3+ years of advanced cloud infrastructure management (VPC, Load balancers) or container orchestration (Kubernetes)
3+ years in Python or any other advanced programming language
Strong ability to lead, design, and execute cross-organization projects
Hands-on experience administering public clouds (AWS, GCP, or Azure)
Experience with building CI/CD pipelines for applications and microservices.

Requirements:
10+ years of experience in software engineering, with at least 5 years in leadership roles managing diverse R&D teams
Proficiency in Software Development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js
Proven track record of delivering scalable cloud / SaaS services, operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments
Experience leading AI product (assistants, copilots, LLM-integrated workflows)
Exceptional leadership, communication, stakeholder, and customer management skills
Passion for empowering developers and enabling productivity through platform engineering
DevOps / DevSecOps experience - strong advantage
Growth mindset, with continuous learning in AI and agentic technologies.

Requirements:
Education:
CQE or B.sc in quality engineering.
Bachelors degree in mechanical, Electrical, Industrial Engineering, or a related field - advantage.
Minimum 3 years of experience in NPI or manufacturing engineering, with a focus on transferring products from development to production.
Knowledge of manufacturing processes and materials and familiarity with quality systems and regulatory requirements.
ability to manage multiple projects simultaneously.
Strong problem-solving and analytical abilities (8D /A3 method)
Interpersonal and communication skills.
Familiarity with ISO 9001 and /or AS9100.
Certified internal auditor - advantage
Complete Control of MS Office with advanced Excel Skills
ERP / PLM knowledge.
Fluent Hebrew and English (Reading, Writing and Speaking)
Preferred Qualifications:
Experience in industries such as electronics and mechanics and multidiscipline systems.
Knowledge of lean manufacturing principles, Six Sigma methodologies, and quality systems.

Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.

Requirements:
At least a year of experience as an operation coordinator or administrative assistant (Also from IDF/ National Service)
High level in English - reading and writing
Excellent relationship management skills, written and verbal communication skills
Excellent time management skills and the ability to multi-task, prioritize work, and perform under pressure
Hyper-organized and attention to details are a must
Ability to anticipate and resolve problems before they arise; a creative mind with an ability to suggest improvements
Team player mentality and someone who is flexible, good-natured, and has a positive and warm personality
Knowledge of office administrator responsibilities, systems and procedures (such as Google Drive, Sheets, Docs, and Gmail).

Requirements:
5+ years of experience working with production data platforms or large-scale databases.
3+ years leading teams (formal management or tech leadership).
Strong expertise with PostgreSQL - including performance tuning, troubleshooting, query optimization, and incident analysis.
Experience with cloud-managed database services (e.g., AWS RDS/Aurora, Google Cloud SQL, Azure Database).
Solid experience operating data systems in production, high-availability environments.
Hands-on background with infrastructure and platform practices (e.g., automation, IaC, containers, cloud environments).
Experience with scripting languages, such as Python.
Strong analytical and problem-solving skills, with the ability to make sound decisions under pressure.
Excellent communication skills and ability to lead through influence and ownership.
Comfortable balancing hands-on execution with team leadership and mentoring.
Experience with additional data technologies (Redis, Kafka, MongoDB, etc.).
Experience building and leading data reliability programs (backups, recovery, migrations, audits, etc.).

Requirements:
5+ years of overall software development experience, with at least 3-4 years specifically in Go, including advanced concurrency, performance optimization, and systems-level programming
Strong experience with TypeScript/Node.js for building GitHub Actions, CLI tooling, and automation frameworks
Hands-on experience integrating AI/LLM capabilities into engineering workflows - including prompt engineering, AI agent orchestration, and automated code generation pipelines
Deep understanding of CI/CD platforms, with mandatory experience in GitHub Actions (workflow authoring, custom actions, runner internals)
Proficiency with OpenTelemetry or equivalent distributed tracing and observability frameworks
Experience with Docker and BuildKit internals, including multi-stage builds, layer caching strategies, and build output parsing
Solid understanding of Linux system internals, including process management, file systems, and shell scripting (bash)
Strong background in building developer tools that integrate seamlessly into existing workflows without disrupting them
Advantage Skills:
Experience with build system optimization across multiple ecosystems (Go, Gradle/Maven, npm/yarn, pip/uv, Cargo)
Familiarity with bash parsing libraries or shell interpreters (e.g., mvdan/sh)
Experience with agentic AI systems - autonomous agents that plan, execute, and iterate on code changes with minimal human intervention
Background in pattern detection, anti-pattern recognition, or static/dynamic analysis tools
Experience with Kubernetes (K8s) and cloud-native CI/CD environments
Familiarity with major cloud platforms (AWS, GCP, Azure)
Experience with platforms like Jenkins or GitLab CI
Knowledge of performance profiling techniques and build graph analysis
Experience with our Artifactory or similar binary repository and artifact management platforms
Understanding of software dependency graphs and build orchestration
Familiarity with secret management and security - conscious development practices.