לוח משרות דרושים מתכנת Python בשרון

were looking for skilled professionals to help shape our data platform and drive the next generation of trading technology.

In this role you will:
Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

Architect and optimize data workflows across AWS and on-premise environments.

Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

Help assess and implement frameworks such as DBT for data transformation and modeling.

Develop best practices and internal standards for data engineering, monitoring, and testing.

Contribute to the long-term vision and roadmap of Fin-on-exs data infrastructure.

We are looking for a Senior DevOps Manager to lead our global DevOps initiatives across hybrid environments (AWS and On-Prem). This is a highly technical leadership role focused on building a developer-first platform.

You will bridge infrastructure and R&D by designing scalable Kubernetes-based environments, building custom internal logic, automating complex workflows, and owning the traffic and API layer.

The ideal candidate is a hands-on technical leader with deep Kubernetes expertise, experience with ArgoCD, Helm, and Kong, and a strong software engineering mindset.

In this role you will:
Architect, build, and maintain scalable production environments across AWS and On-Prem using Kubernetes
Own and optimize the Kong API Gateway, including custom plugin development and traffic routing
Standardize application packaging using Helm and manage declarative deployments with ArgoCD
Build custom internal tools and logic using Python and Lua
Design, implement, and maintain fully automated CI/CD pipelines using GitLab CI
Work closely with R&D teams to identify pain points and automate manual processes
Implement Security as Code across CI/CD pipelines and gateway layers
Ensure infrastructure complies with privacy, security, and data protection standards
Manage, mentor, and grow a global team of remote DevOps engineers
Define technical roadmaps aligned with infrastructure scaling and R&D velocity

Experienced Data Engineer? Excellent team player?
Come join a great team to overcome meaningful cyber challenges!
Our Data Solutions Group is looking for an exceptional Python developer with Data Engineering experience.

we are looking for a Graduate Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation. In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation

we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

we are looking for a Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

We are seeking an experienced Full-Stack Team Lead to manage a dynamic team of 4 engineers (2 backend, 1 frontend, 1 Devops) in developing cutting-edge products. The ideal candidate will have full-stack development expertise, strong leadership skills, and experience with scalable, high-performance systems.
Responsibilities:
Team Management: Lead and mentor a team of engineers (backend and frontend), focusing on their personal and professional development.
Feature Development: Architect and develop end-to-end features, handling both backend (Redis, Kubernetes, PostgreSQL, Python, FastAPI) and frontend (React, Redux, Cesium, monorepo with npm 7, TypeScript) technologies.
Code Reviews & Quality: Conduct thorough PR reviews and ensure code quality and adherence to best practices.
Version Management: Oversee version management and the release of new product iterations.
Customer Support & Hotfixes: Interact with customers, troubleshoot issues, and implement hotfixes as needed.
Product Development: Collaborate closely with the product team on defining new features, UI/UX improvements, and assigning tasks across frontend and backend teams.
Bug Triage: Regularly conduct bug triage with the QA team and ensure timely resolution of issues.
Cross-Team Collaboration: Work with the Computer Vision team on integration pipelines and support Proof of Concepts (POCs) for quick solutions.
Scalable Solutions: Lead development of two key products-one involving augmented reality on real-time video and another managing georegistration for satellite imagery.
Stakeholder Communication: Report directly to the VP of R&D and contribute to strategic product discussions.

We are hiring a Principal Algorithms Solution Architect to lead innovation in algorithm design and system architecture, delivering transformative solutions in graphics, vision, and AI for our next-generation iTero scanners.
The role is located in Petah Tikva or Caesarea
Key Responsibilities:
Lead and execute cutting-edge algorithmic challenges, driving knowledge and breakthroughs across the company.
Play a pivotal role in shaping our algorithmic strategy and influencing performance outcomes.
Provide guidance, mentorship, and leadership to teams, ensuring successful delivery across multiple projects.
Apply advanced troubleshooting skills and collaborate with R&D and Product teams to resolve complex technical issues and ensure system reliability.
Partner with stakeholders to anticipate future challenges and design innovative solutions.
Participate in all phases of the algorithm development cycle, from concept through deployment.
Identify risks in algorithm and system design and propose effective solutions.
Evaluate existing solutions and recommend improvements to enhance efficiency, scalability, and robustness.
Consistently demonstrate innovative thinking, systemic understanding, and strong cross-team collaboration.
Maintain a strong leadership presence, fostering accountability, growth, and high performance across the organization.

As a Backend Developer, you will:
Research, design and develop innovative solutions
Develop ever-changing backend infrastructure
Interact with cutting-edge technologies and services
Deliver E2E solutions.

we are looking for an exceptional Senior Full Stack Engineer to join our Scheduling R&D team in the challenge of moving the world smarter and more efficiently. We are looking for an experienced professional with superb interpersonal skills, a software engineering background, and the production experience of building web apps at scale.
As a Developer on the Scheduling Team, you will play a pivotal role in shaping and enhancing the user experience and performance of our schedule optimization platform.
Responsibilities:
Participate in all stages of the development lifecycle, from design and implementation to testing and deployment.
Collaborate closely with the team lead, product manager, and UX/UI designer in a cross-functional environment, while maintaining strong alignment with other R&D teams across the organization.
Lead and contribute to key decisions on architecture, technology stack, roadmap, and user experience.
Drive the adoption of AI-powered tools and practices, helping shape how we leverage AI to accelerate development and improve product quality.
Mentor and support team members through knowledge sharing and technical guidance.

As a Data Engineer , you will own the architecture and optimization of large-scale ETL processes that transform raw heavy-duty vehicle telemetry into production-grade intelligence. You will operate at the intersection of Big Data and AI, building scalable pipelines, enforcing data quality standards, and managing cost-efficiency for a system processing billions of time-series records. You will be a technical owner, collaborating directly with Data Scientists to ensure our fleet intelligence models run reliably in production.
What Youll Do
Architect and build robust ETLs and scalable data pipelines on Databricks and AWS.
Optimize high-throughput ingestion workflows for billions of time-series records, ensuring low latency and data integrity.
Engineer data validation frameworks and automated monitoring to proactively detect anomalies before they impact models.
Drive cost-efficiency by tuning Spark jobs and managing compute resources in a high-volume environment.
Transform raw IoT/telemetry signals into structured, enriched Feature Stores ready for Machine Learning production.
Define best practices for data engineering, CI/CD for data, and lakehouse architecture across the organization.

What Youll Do

You will build and ship product features across the Full Stack, owning backend in Python and frontend development equally.



Core Responsibilities

Build and maintain backend services in Python + FastAPI (APIs, business logic, integrations, data flows).
Design and implement clean, scalable REST APIs and service layers that power the product.
Integrate R D outputs (AI models, algorithms, internal services) into production through robust API layers and workflows.
Build and maintain the frontend in React (component architecture, state management, hooks, performance).
Own features end-to-end: requirements? backend design? API implementation? frontend integration? testing? deployment? monitoring.

MUST: Experience working at scale/scaled systems

We are currently seeking a Python Developer - LLM & MCP Integration to contribute to the success of our rapidly growing business.

This role focuses on building backend services and LLM-integrated functionality that plug into our existing MCP platform, enabling advanced AI-driven product capabilities across our security offerings.

As a Python Developer - LLM & MCP Integration, you will:
Build and maintain Python-based backend services that integrate with the MCP platform.
Own the end-to-end data and logic pipeline behind these AI-powered capabilities.
Design and maintain Vector Database ingestion pipelines for product documentation and knowledge content.
Normalize and structure security events to support accurate LLM explanations and summaries.
Ensure solutions meet our security, scalability, and reliability standards.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.