לוח משרות דרושים Senior Python Developer עבודה היברידית, לחיפוש זה נמצאו 12 משרות

Required Solutions Software Engineer
Description
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.
For this role, we are looking for an R&D Software Engineer individual who is both an experienced engineer and a great people person.
Someone who can evaluate existing workflows, devise and communicate new solutions, own and deliver them, taking our company to the next level.
Responsibilities:
Actively investigating, understanding, and challenging workflows in the company, interacting daily with software and hardware engineers.
Continuously suggesting and delivering new ideas to enhance and improve our products and the work of engineering teams.
Driving the adoption of AI capabilities and modern practices across chip design, verification, and software teams.
Partnering with engineering teams to plan, develop, and deliver high-quality software infrastructure in a complex hardware + software environment.

Are you a Python wizard who speaks fluent AI? At DealHub , we’re not just talking about the AI revolution – we’re actively building it into the core of how the world’s leading B2B companies close deals! We are looking for a Senior Python Backend Engineer to join our core R&D team in Holon (Hybrid) and take ownership of our next-gen AI features. Why is this role exciting? Instead of just wrapping basic API calls, you will be building complex infrastructure from scratch. You’ll be designing robust RAG pipelines, integrating LLMs into heavy-duty production environments, and working with Vector DBs to automate contract analysis and smart pricing for thousands of enterprise users.

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 OpenShift. 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.

The Ecosystems Engineering group is seeking a Senior Software Engineer to join our rapidly growing team. In this role, you will be a key contributor to the bridge between cutting-edge hardware and world-class open-source software. You will focus on the technical implementation and productization of next-generation AI solutions, ensuring deep integration between the software stack and Nvidias hardware acceleration technologies.
You will work within a diverse team of engineers, collaborating with product teams and partners like Nvidia to ensure our AI and Cloud offerings remain the industry standard for performance and reliability.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do
Lead the development and integration of new features for our AI & Cloud, utilizing Nvidias cutting-edge technologies (GPUs, DPUs, and more).
Write and optimize code that integrates hardware accelerators into the portfolio, ensuring high performance for AI/ML workloads.
Take ownership of project modules, ensuring they meet rigorous non-functional requirements such as security, resiliency, and maintainability.
Partner with UX, UI, and QE teams to build seamless user experiences for our partners and customers.
Maintain high code quality through rigorous peer reviews and automated testing (CI), and proactively address security vulnerabilities.
Coach and guide junior and mid-level engineers, sharing technical knowledge to foster a culture of continuous learning.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

we are growing fast, and as we grow we scale both in the number of patients we treat and in the number of products we have in our portfolio. Your mission is to design and build the next-generation data infrastructure and pipelines, in addition contributing to an ongoing project that serves both our customers and internal data teams with scalable and reliable solutions.

You will:
Make a critical contribution to shaping and developing the core of our Data Platform used for AI research and business intelligence, from design to implementation.

Design and build complex data pipelines to move and manipulate data from a wide variety of data sources.

Create a system that will be used to support our data product offering.

Closely collaborate with various teams, including Software Engineering, AI Engineering and Product Management .
Tech stack:

We are running on AWS with Python as the main programming language for the backend. We are using various technologies such as S3, DBT, ETL, ELT, Spark, DynamoDB, Postgres, RabbitMQ, Docker, Redis, Prometheus, Terraform and others. We are always open to new technologies and tools that will help us to do our job even better.

What success looks like:
Self-contributor who excels at working independently and can also collaborate effectively as a valuable team member.

Mentor and advise other team members in code review, performance, scalability and more.

Eager to learn new things and also proactively suggest new ideas and initiatives.

Excellent communication and collaboration skills.

Team player, highly motivated, can-do approach.