לוח משרות דרושים מתכנת Python

We are looking for Senior Python Developer.

Roles and responsibilities:
Design and develop robust backend solutions using Python and modern frameworks like Flask or FastAPI.
Build and extend API endpoints, ensuring scalability and security.
Develop greenfield solutions, from architecture and design to deployment.
Collaborate with cross-functional teams to define project requirements and deliver high-quality solutions.
Write clean, maintainable, and well-documented code.
Implement automated tests and support CI/CD pipelines to ensure continuous quality.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.

You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

Key Responsibilities
MCP Development & Implementation

Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities
Architecture & Design

Architect scalable MCP solutions that handle high-volume data access patterns
Design efficient protocol implementations that minimize latency and maximize throughput
Create reusable MCP components and libraries for internal and external use
Establish best practices for MCP server development and deployment
Integration & Collaboration

Integrate to our identity platform
Work with DevOps teams to deploy and monitor MCP services in production environments
Partner with security teams to ensure MCP implementations meet compliance and security requirements
Integrate MCP solutions with existing infrastructure and third-party services
Quality & Performance

Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests
Monitor and optimize MCP server performance and resource utilization
Debug complex issues in distributed MCP environments
Maintain detailed documentation for MCP servers and integration patterns
Contribute to Open Source

Engage with the open-source community, contributing to the development and improvement of MCP

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth, bringing about opportunities like those made possible with the invention of classical computing 50 years ago. At QM, we provide the worlds most leading researchers and organizations with the critical tools they need to develop useful quantum computers. QMs hardware and software represent a new paradigm for controlling quantum computers, from a single qubit to hundreds and thousands. We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled and accelerating their arrival. we are backed by globally recognized venture capital sponsors, including TLV Partners, Battery Ventures, Red Dot Capital Partners, Avigdor Willenz investment group, Harel Insurance, and others.
We are looking for an experienced hands-on Python Engineer who can work independently with remote teams (SW, HW, logic,) and create products that will shape the future of Quantum Computers.
The Quantum Computing SDK is the interface through which our customers run QM control system. Customers use it to configure their cutting-edge system and run their ground-breaking experiments. Various institutions from world-class universities to hyper-scalers use the SDK to calibrate their delicate QBits, perform Write and Read Quantum Computing Operations and run programs in higher level Quantum Computing languages like OpenQASM3.
Responsibilities
Develop the software for the company's Quantum Computing SDK.
Take part in all the technical aspects of the SW development from design to delivery.
Work with high standards of SW methodology, clean-code and CI.

we are a global leader in hybrid control systems for quantum computing, a field on the verge of exponential growth.
Our innovative hardware and software offer a groundbreaking approach to controlling quantum computers, scaling from individual qubits to arrays of thousands.
At the heart of QM is a passionate, ambitious team committed to transforming the construction and operation of quantum computers. Our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
We are looking for a highly experienced a hands-on Software Infrastructure Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Creating innovative infrastructure to help with modernizing coding, processes, and workflows.
Drive adoption of AI capabilities across chip design, verification and software teams.
Partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
Design and maintain multi-language code generation systems.
Evaluate and integrate new technologies to enhance developer workflows.

We are looking for a Senior Full Stack Engineer to join our dynamic and fast-paced R&D team and play a key role in shaping the future of our cutting-edge product.

As a senior member of the Full Stack team, you will take ownership of core features and contribute to the design, architecture, and implementation of production-grade systems. Youll collaborate closely with cross-functional teamsincluding AI, web, mobile, QA, and productwhile mentoring and guiding junior engineers to uphold engineering excellence.



Key Responsibilities
Lead the design, development, and deployment of complex and scalable full-stack features.

Own technical decisions and drive architectural discussions to ensure long-term scalability and performance.

Define and enforce best practices in coding processes across the development lifecycle.

Collaborate with cross-functional stakeholders to deliver end-to-end solutions, from ideation to production.

Mentor and guide team members through code reviews, knowledge sharing, and technical leadership.

Stay up-to-date with emerging technologies and contribute to tech roadmap planning.

We are seeking a detail-oriented and experienced QA Automation Engineer to join our Quality Assurance team. The ideal candidate will be responsible for designing, developing, and executing automated tests to ensure product quality and reliability. You will collaborate closely with developers, product managers, and other QA engineers to deliver high-quality software products.

Key Responsibilities:
Design and implement scalable automated testing frameworks for web, mobile, and/or
API testing
Develop, maintain, and execute automated test scripts using tools like Selenium,
Cypress, Playwright, or similar
Identify test requirements, create test plans, and write detailed test cases
Collaborate with developers and other QA team members to diagnose and debug issues
Track defects and work closely with the development team to resolve them
Stay current with new automation tools, technologies, and best practices
Contribute to continuous improvement of QA processes and standards

Were seeking a Senior/Lead Generative AI Developer to join our Core GenAI Team. This role is ideal for someone passionate about building AI-powered features, improving platform foundations, and experimenting with cutting-edge research and prototypes. Youll work across product-facing initiatives as well as internal tools, helping shape how Generative AI is leveraged.

You will take a hands-on role in coding and system design while also mentoring other developers and guiding best practices for AI development. This position combines deep technical work with cross-functional collaboration to push the boundaries of how GenAI can improve both platform and the public transportation industry.

Responsibilities

Building & Evolving GenAI Capabilities
Design, develop, and maintain backend infrastructure for AI-powered features (APIs, orchestration, LangChain/RAG pipelines, Agents orchestration and flow design, integrations with LLMs).
Collaborate with Product and Design to deliver AI-driven experiences in the Optibus platform, focusing on intuitive and impactful user interactions.
Explore and prototype new applications of Generative AI that can enhance public transportation planning, scheduling, and operations.
Ensuring Technical Excellence
Establish and promote best practices for AI development, evaluation, and monitoring in production environments.
Mentor and guide developers on the RnD and Product teams in adopting GenAI tools and patterns.
Drive experiments with emerging models, frameworks, and techniques to ensure the platform remains state-of-the-art.
Cross-functional Collaboration

Own and drive GenAI integrations into products, ensuring scalability, reliability, and performance.
Partner with Product Managers, Designers, and other engineering groups to align on requirements and technical feasibility.
Act as a thought partner across teams, identifying synergies and preventing redundant work.

We're looking for a creative, technically strong team lead to guide a full-stack engineering team working on a complex, high-impact system. You'll own the evolution of key parts of our product, introduce better practicesincluding AIand continue delivering features our customers love.

What Youll Do

Lead a team working across Python, Typescript, Node.js, React, and Kubernetes.
Solve tough technical challenges in a complex, evolving codebase.
Introduce AI-driven tools and practices into the teams daily work.
Balance refactoring and evolution with steady delivery of new features.
Foster a positive, collaborative culture and grow the teams capabilities.

Were looking for a Back end developer to join our development team! As a Back end developer you will develop APIs, microservices, flexible interfaces, at massive scale across multiple continents.

Part of the role will include integration with multiple external APIs, processing of the data, and compiling it in a flexible way to accommodate various output requirements.

Responsibilities
● Write clean, maintainable, and efficient code while adhering to best practices and coding standards

● Optimize application performance and ensure smooth user experience across different devices and browsers

● Collaborate with stakeholders to understand requirements and translate them into technical solutions

● Stay up-to-date with emerging technologies and industry trends, evaluating their potential applications to enhance our e-commerce platform

we are building an internal carrier-grade testbeda cloud-native platform that spins up realistic ISP-level topologies on Azure AKS so every engineer can validate new routing features straight from the monorepo. As Network Simulation Platform Lead you will architect, code and operate this infrastructure, weaving it into our GitHub Actions → Argo CD pipeline and mentoring a small DevOps-minded team.
What you will do
Design & build the platform develop Python services, Kubernetes operators and Temporal/Airflow workflows that simulate BGP, EVPN, fail-overs and traffic storms.
Own cloud & container operations deploy, scale and troubleshoot high-throughput networking workloads on Azure AKS; craft custom Docker images and automate resource lifecycle management.
Integrate with CI/CD plug the simulation framework into our nx-based monorepo using GitHub Actions and GitOps with Argo CD; provide one-click, self-service environment spin-up/down for development and testing.
Champion DevOps practices manage Helm/kubectl manifests, secrets, observability hooks and automated cleanup; keep infra-as-code tidy and reviewable.
Lead the team mentor 4-6 engineers, run design reviews, pair on complex infra problems and uphold high standards for code quality and security.
Collaborate cross-functionally work daily with feature developers, networking architects and QA automation engineers to embed simulation hooks directly into everyday workflows.

We are a small algo team, and you will be a key person. Youll benefit from never-ending intellectual challenges as we invent new technologies for real-time medical interventional procedures. On top of that, youll work with great people in an amazing environment where professional and personal development are a top priority.
Responsibilities may include the following and other duties may be assigned:

Research, design, develop, and optimize our products
Work alongside SW and Algorithm Developers to leverage state of the art algorithms from the fields of Computer Vision, Image Processing, and Machine Learning
Dive into new and exciting technologies and programming languages

R38490

We are looking for a highly skilled ATE Developer to join our R&D Automation Test Equipment & Data analysis team. This role is focused on designing, developing, and maintaining advanced end-to-end automation testing solutions to our product (API, HW, OS, system).
The ideal candidate is a hands-on developer with strong expertise in Python, experienced in building and executing automated tests, comfortable working with modern CI/CD pipelines and automation tools 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 & HW automation production testers using Python.
Develop and execute HW & system-level and end-to-end automation, including API and UI layers.
Building Automation infrastructure for real time data collections and analysis.
Building UI tools for real time data analysis presentation.
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Working closely with SW developers, RF, and DevOps engineers.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyse 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.