לוח משרות דרושים Senior Python Developer

The Engineering team is looking for a Senior Software Engineer to join us in Ra'anana, Israel. In this role, you will contribute to the engineering of features related to the deployment and life cycle management of Kubernetes and ROpenShift. You'll play a specific part in defining the architecture for Kubernetes deployment infrastructure and in developing our offerings from inception, through upstream development, to delivery.
What you will do:
Play an active role in container and virtualization-related projects and communities like Kubernetes, OpenShift, and KubeVirt
Create and guide new feature development; contribute to open source projects in Golang, Python.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats
Work with our Global Customer Support team and partner support teams on resolving customer issues
Work with the Quality Engineering (QE) team to ensure that projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

we are a leading provider of high-performance LiDAR sensors and perception software that enable safe autonomous driving on scale. We are looking for a Senior Software Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems.
Responsibilities
Calibration software development: Design, implement, and maintain calibration. procedures working closely with System Engineers.
Production line automation: Develop software solutions to automate manufacturing and testing processes.
Software quality improvement: Enhance code quality, testing frameworks, and development practices across the team.
Architecture & design: Contribute to high-level software architecture decisions and system design.
Cross-functional collaboration: Work closely with hardware, optics, and systems engineering teams.
Team support: Provide backup and knowledge sharing across different calibration procedures and systems.

we are looking for a motivated and experienced Senior Python developer You'll be part of the automation and infrastructure group that contains highly skilled Python programmers who develop and maintain our internal frameworks, libraries, services, and tools.

As a Senior Python developer, you will be:

A part of our team of highly skilled Python programmers who develop and maintain our internal services and tools.
Develop and maintain Python-based internal tools and services used in the company's development processes.
Work closely with Engineering teams to define R&D workflows.
Be a part of the growing DevEx team, which stands at a critical point in all R&D processes

We are looking for a Senior DevOps Engineer. If you have a strong passion for building DevOps platforms and tools in SaaS at scale, you should strongly consider joining as a Senior DevOps engineer. You will participate in large-scale, cross-team efforts and work closely with R&D to provide the best DevOps solutions.
**Working in a hybrid model! ( 2 days from the office, 3 days from home. )**
Responsibilities :
Design, implement and manage cloud and containerized architectures in AWS and Azure
Design, develop and manage scalable systems with CI/CD in mind, to support multiple production environments and use cases
Tackle production issues and bring OOB thinking to the table
Evaluate new cloud-native technologies and vendor products to continuously improve our SaaS offerings
Be part of company SecOps operations

our company is a biotechnology company that uses its unique AI technology platform to engineer innovative antibodies with superior properties, enabling novel treatments for diseases such as cancer and auto-immune diseases. Our leading drug is in clinical trials and shows good results in cancer treatment. We are looking for experienced, strong, and motivated software engineers to join our Computational team. In our team, we develop software systems that underlie the activities across the company, as well as SOTA algorithms for antibody engineering.

A GenAI Cyber Security company is looking for a Senior Software Engineer, for an Endpoint & Browser Security developing role. The company's product enables organizations to securely leverage Generative AI with a unified platform for visibility, governance, and real-time protection.
Were looking for a Senior Software Engineer to develop and maintain lightweight, secure endpoint agents (macOS, Windows) and browser extensions (Chrome, Firefox, Safari, Edge). You'll play a key role in shaping the security layer of GenAI products in a fast-paced startup environment.
Responsibilities:
Build and optimize security agents for macOS/Windows
Develop and maintain secure browser extensions
Collaborate with product, security, and QA teams
Implement security best practices and performance optimizations
Stay up to date with OS and browser security trends.

Were looking for a Senior Software Engineer to join a dynamic and high-impact team that owns the entire risk infrastructure behind our credit card. This includes real-time decisioning systems, integration with advanced ML models, risk engines, and credit strategies that directly impact our financial health and customer experience.
You'll collaborate closely with data scientists, backend developers, and product stakeholders to build systems from scratch, design complex architectures, and ensure scalable, high-performance infrastructure capable of making split-second decisions.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Key Responsibilities:
Design, implement, and maintain large-scale backend systems for real-time risk and credit decisioning.
Build and optimize data pipelines and streaming systems that support our risk and ML models.
Work closely with data scientists to integrate predictive models into production.
Build microservices and internal tools that serve thousands of users and scale with company growth.
Own projects end-to-end from requirements and architecture to testing, deployment, and monitoring.
Collaborate with engineering and cross-functional stakeholders to ensure business alignment and smooth delivery.
Drive best practices in software engineering from code quality and security to performance and maintainability.

We're looking for a passionate and innovative Senior Software Engineer to join our Core Innovation & Future Technologies team. You'll contribute to a revolutionary product that significantly improves software development workflows, enhancing the experience and productivity for developers worldwide.
As a Senior Software Engineer, you will
Embrace an agile, entrepreneurial environment with the strategic advantage of selling to Fortune 500 companies.
Develop advanced system-level performance tools for optimizing critical software processes.
Design and implement intelligent engines that enhance various development commands and workflows.
Architect high-performance caching strategies to maximize efficiency across development cycles.
Create seamless integrations with widely used developer tools and platforms.
Build scalable, multi-language solutions supporting diverse technology stacks.

We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

Deloitte is looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client

designs & develops digital products (that create a digital customer experience) for tech-companies, based in Israel with offices in New York City.

The position is ideal for an energetic, creative individual, independent and a team player with a strong personality, who would like to take on a wide range of challenging projects in an exciting and dynamic atmosphere.

What you'll be doing
Take active part in research and development of innovative Android applications utilizing computer vision and AR technologies.
Collaborate with cross-functional teams to define, design, and ship new features.
Integrate AI vision models for detecting and tracking real-world objects in real-time.
Develop and implement AR features to enhance user interaction and experience.
Optimize application performance for smooth and efficient operation.
Conduct code reviews and provide mentorship to junior developers.
Stay updated with the latest industry trends and technologies to ensure our applications remain at the forefront of innovation.

In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management, using tools like DBT.
Develop Data pipelines to ingest and transform data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses. This will also include catalogs of data.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.