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לפני 10 שעות
חברה חסויה
Location: Ra'anana
Job Type: Full Time
we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Responsibilities:

Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.
Requirements:
5+ years in data engineering.
Expertise in Apache Spark and Spark Structured Streaming.
Hands-on experience with Apache Iceberg or similar data lakes.
Proficiency in Scala, Java, or Python.
Knowledge of big data technologies (Hadoop, Hive, Presto).
Experience with cloud platforms (AWS, Azure, GCP) and SQL.
Strong problem-solving, communication, and collaboration skills.
This position is open to all candidates.
 
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Job Type: Full Time and Hybrid work
Proceed is hiring a Full Stack Developer with strong backend orientation to join the development of an enterprise document processing and workflow automation platform.

The role focuses mainly on backend engineering, cloud infrastructure, data pipelines and end-to-end ownership, with occasional React work on internal admin tools.

As part of the role, you will develop microservices and APIs using TypeScript / Node.js and Python, work with GCP and AWS infrastructure including Cloud Run and managed services, design event-driven pipelines with Pub/Sub, EventArc and Airflow DAGs, and work with PostgreSQL, Redis, BigQuery and Prisma.

You will also be involved in Infrastructure as Code using Terraform, CI/CD processes, Docker-based deployments, containerized environments, and AI-assisted development tools such as Cursor, Claude Code or Copilot.
Requirements:
Requirements:
4-6 years of hands-on backend development experience with Python and/or TypeScript / Node.js
Experience with GCP or AWS, including managed services, IAM, networking and serverless containers
Experience developing APIs, microservices and backend services
Strong understanding of Docker, containers, CI/CD and deployment processes
Experience with PostgreSQL, Redis, BigQuery and Prisma
Ability to own features end-to-end, from database design to deployment
Basic React knowledge for maintaining internal admin tools
Experience with AI-assisted development tools such as Cursor, Claude Code or Copilot
High level of independence and ability to translate architecture documents into working services
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do:
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives.
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security.
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization.
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.
Requirements:
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2+ years of proven experience developing large-scale software using an object-oriented or functional language.
5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses.
Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code.
Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR.
Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL.
Experience with data pipeline orchestration and scheduling using tools such as Airflow.
Strong problem-solving skills and the ability to work independently as well as part of a team.
High-level English - a must.
A team player with excellent collaboration skills.

Nice to Have:
Expertise with Vertica or Redshift, including experience with query optimization and performance tuning.
Experience with machine learning and/or data science projects.
Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
Knowledge of Spark internals (tuning, query optimization).
This position is open to all candidates.
 
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31/08/2026
Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do:
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.
Requirements:
Requirements:
Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):
Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have:
Experience with Elasticsearch (DSL queries, analyzers).
Knowledge of vector databases and embedding models.
Background in FinTech or familiarity with financial data structures.
This position is open to all candidates.
 
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חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking an experienced and highly motivated Data Center Manager to lead the planning, operation, growth, and strategic development of our global lab and data center infrastructure. This role combines technical leadership, operational excellence, team management, and long-term capacity planning to support the company's rapid growth and evolving technological needs. Reports To: VP Global IT
The ideal candidate will bring extensive experience in large-scale data center environments, strong networking expertise, and a proven ability to lead teams and manage multiple sites while ensuring high availability, efficiency, and scalability.
Key Responsibilities
Leadership & Team Management
Partner with lab customers to define long term infrastructure roadmaps, anticipate future needs, and align lab growth with business and engineering objectives.
Lead, mentor, and develop a team of data center and lab engineers.
Establish operational standards, processes, and best practices across all lab locations.
Drive a culture of accountability, innovation, and continuous improvement.
Manage resource allocation and prioritize activities to meet business objectives.
Data Center & Lab Operations
Oversee the day to day operation of company labs and data center facilities.
Ensure high availability, reliability, and operational excellence across all environments.
Maintain real time visibility into lab status, capacity, utilization, and health.
Monitor infrastructure components, resource consumption, and workload distribution across the labs.
Provide ongoing operational reporting and status updates to management.
Strategic Planning & Capacity Management
Define and execute the long term growth strategy for the company's lab and data center infrastructure.
Forecast capacity requirements and proactively plan infrastructure expansion.
Monitor utilization trends, workload distribution, and resource consumption.
Optimize infrastructure allocation to maximize efficiency, performance, and scalability.
Develop forward looking plans to support upcoming projects and business initiatives.
Infrastructure Expansion & Projects
Lead the design, deployment, and commissioning of new data centers and lab facilities.
Plan and manage expansion projects for existing sites.
Coordinate infrastructure initiatives across multiple locations and stakeholders.
Ensure projects are delivered on time, within scope, and aligned with business needs.
Manage infrastructure lifecycle planning, including upgrades, replacements, and capacity enhancements.
דרישות:
Must Have
10+ years of experience in data center operations, infrastructure management, or related fields.
Strong hands-on expertise in networking technologies and large scale network infrastructures.
Proven experience managing teams of at least 10 employees in a global company.
Experience managing multiple data center or lab locations simultaneously.
Demonstrated success in capacity planning, infrastructure growth, and operational management.
Experience leading data center construction, expansion, or large scale infrastructure deployment projects.
Strong project management and execution skills.
Excellent leadership, communication, and stakeholder management capabilities.
Ability to operate effectively in a fast-paced, high-growth technology environment.
Nice to Have
Experience with liquid cooling technologies and next-generation data center cooling solutions.
Experience building or operating high density AI, HPC, or large scale compute environments.
Familiarity with infrastructure monitoring, automation, and orchestration platforms.
Experience managing global lab environments supporting R&D and product validation activities.
Success Metrics
High availability and operational stability across all lab and data center environments.
Accurate capacity planning and proactive infrastructure scaling.
Efficient workload balancing and optimal המשרה מיועדת לנשים ולגברים כאחד.
 
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28/09/2026
חברה חסויה
Location: Ra'anana and Yokne`am
Job Type: Full Time
We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.
Requirements:
What we need to see:

B.Sc. in Computer Science, Software Engineering, or equivalent practical experience.

5+ years of strong C/C++ software development experience.

Experience with Linux development tools, debugging, and performance analysis.

Proven understanding of networking concepts and protocols such as Ethernet, TCP/IP, or similar.

Strong understanding of operating systems, computer architecture, and low-level systems software.

Experience building or debugging multi-layer software systems.

Strong analytical and problem-solving skills.


Ways to stand out from the crowd:

Experience developing high-performance or low-latency software.

Background in networking, packet processing, or data-plane software.

Experience designing developer-facing APIs, libraries, or software frameworks.

Experience with compiler, code-generation, or runtime infrastructure.

Contributions to open-source systems or networking projects.
This position is open to all candidates.
 
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22/09/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
The Director of Engineering - Performance Management at our company is responsible for leading and
managing the engineering teams that design, build, and maintain the companys PM product. This role ensures the delivery of high-quality, scalable, and reliable solution
that support our companys customers
How will you make an impact?
Lead the PM engineering organization, ensuring alignment with company
goals
Oversee the design, development, testing, and deployment of PM
micro services
Manage resource planning, delivery milestones, and overall product quality
Ensure system capacity planning and operational support for the PM
Establish and enforce development standards, tools, and methodologies
Integrate customer and business requirements into engineering efforts
Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration
Manage global distributed team across multiple sites
Recruit, develop, and retain top engineering talent.
Requirements:
Bachelors degree in Computer Science or related field (Masters preferred)
12+ years of experience in software engineering, with a focus on SaaS products, machine learning, deep learning and LLM
6+ years of management experience in large-scale environments
Proven expertise in data technologies and large-scale distributed systems
Strong interpersonal and leadership skills
Experience with Agentic driven development methodologies
You will have an advantage if you also have:
Building horizontally scalable solutions using containers, microservices, and big
data technologies
Experience with cloud platforms (AWS, Azure) and open-source data tools
Track record of delivering high-quality software products on time.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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28/09/2026
Location: Ra'anana
Job Type: Full Time
We are looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMX product line.

What you'll be doing:

The team develops infrastructure for controlling, monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and data centers.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs
Requirements:
What we need to see:

B.Sc. or equivalent experience in computer science / software engineering.

5+ years experience in Programming in Python and C/C++.

3+ years experience in Linux environment and tools.

Expert knowledge in computer architecture and operating systems.

Experience in performance optimizations.


Ways to stand out from the crowd:

You have positive attitude and work well with others.

Demonstrated use of creative ideas, providing solutions to challenging problems.

Deep knowledge of Networking Protocols (InfiniBand, Ethernet).
This position is open to all candidates.
 
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31/08/2026
Location: Ra'anana
Job Type: Full Time
You will take ownership of the search infrastructure for Ask us - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do:
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.
Requirements:
Requirements:
Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have:
Experience building RAG (Retrieval-Augmented Generation) pipelines.
Familiarity with LangChain or similar LLM frameworks.
Experience with Evaluation tools (like LangSmith) to test search quality automatically.
Background in Finance (understanding tickers, earnings calls, etc.).
This position is open to all candidates.
 
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5 ימים
Location: Ra'anana
Job Type: Full Time
Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.
Requirements:
Requirements
Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have
Experience building RAG (Retrieval-Augmented Generation) pipelines.
Familiarity with LangChain or similar LLM frameworks.
Experience with Evaluation tools (like LangSmith) to test search quality automatically.
Background in Finance (understanding tickers, earnings calls, etc.).
This position is open to all candidates.
 
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6 ימים
Location: Ra'anana and Yokne`am
Job Type: Full Time and Hybrid work
We are looking for an outstanding Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern our GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.


This is a hybrid role - 4 days per week from the office.


What You'll Be Doing:
Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions - in modern C++ and Python
Set the bar for what good software means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
Implement detailed, focused tweaks into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with
Requirements:
What We Need To See:
B.Sc./M.Sc. in Computer Science or Electrical/Computer Engineering
2+ relevant experience.
Proficiency in modern C++ (C++14/17/20) - templates, RAII, concurrency, move semantics, the standard library, the works.
Proficiency in Python - idiomatic, performant, well-tested, with a strong sense of what is appropriate for C++ and what suits Python.
Strong software design instincts and a real care for code quality: APIs, modularity, testability, clean abstractions, performance, the long tail of maintainability.
Autodidact and ability to learn.
Coherent, logical thinking and good verbal expression.

Ways To Stand Out From The Crowd:
Experience working on Linux as a development platform - CMake, Git, debuggers, profilers, sanitizers.
Familiarity / Interest with video compression / codecs (NVENC, NVDEC, FFmpeg, GStreamer, x264/x265, AV1, VVC).
CUDA or GPU programming experience.
This position is open to all candidates.
 
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