לוח משרות דרושים Senior Java Developer עבודה היברידית, לחיפוש זה נמצאו 10 משרות

We are looking for a highly experienced Java Developer to design and develop the core backend software layer over the company's specialized flagship product.
You'll build systems that handle bursty, high-throughput workloads - think thousands of requests per second with strict latency requirements. This means making real trade-offs around concurrency models, resource pooling, and distributed coordination.
It is a unique opportunity to join a team of top-notch engineers and work on cutting-edge technologies in a fast-paced environment of quantum computation.
What Makes This Role Different:
Our backend team sits in the middle of everything - we're the orchestration layer between:
Hardware control systems (C++)
Client exposed SDK (Python)
Reporting and managing system (Go)
Our business logic (Java/Kotlin + Spring).

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.