דרושים » תוכנה » Backend Engineer (Temp Position-6 Months)

we are looking for talented, highly motivated Senior Java Software Engineers to join our Cloud Analytics Infrastructure group. If youre passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you. You will help design and develop large scale, AWS based systems that power the global our company CXone cloud platform. The applications you build are deployed across multiple regions and support hundreds of enterprise customers worldwide.
How will you make an impact?
Design and implement scalable microservices using AWS technologies.
Develop high‑quality services in a Java Spring Boot environment.
Participate in the full feature lifecycle-from design to implementation.
Analyze requirements and create clear, comprehensive design documentation.
Review and refine designs with peers and stakeholders.
Collaborate closely with the team to iterate on architecture and features.
Apply agile methodologies with AI tools to deliver reliable, high-impact capabilities efficiently.

As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

As a Lead Software Engineer, you will be at the heart of building our Cloud Analytics Infrastructure group.
If youre talented, highly motivated and passionate about building modern cloud architectures and enjoy solving complex engineering challenges, this role is for you.
In this role, you will orchestrate AI agents to accelerate engineering workflows and deliver innovative AI‑driven features directly to customers.
Youll work in a fast‑paced, agentic environment where experimentation, ownership, and initiative are not just encouraged-theyre expected.
If you excel as an engineer, exploring the boundaries of AI‑assisted development, and want to influence the future of how engineering teams work with autonomous agents, this role is tailor‑made for you.
How will you make an impact?
Drive engineering excellence through AI‑augmented workflows and agentic development patterns.
Ensure high-quality deliverables and efficient project execution and continuous improvement.
Lead features design and implementations, set the bar for the team standards and advise on tech. Selection, show initiative in driving technical direction and team collaboration.
Demonstrate strategic thinking and a long-term vision for scalable solutions.
Champion continuous improvement and high‑velocity delivery in an innovative, fast‑moving environment.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.

Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!
Thanks for your interest in working on our team!
We are looking for a motivated Software Engineer to join our R&D team in Raanana.

You will have the chance to develop your own skills in a flexible and energetic work atmosphere with friendly and experienced colleagues. You will have helpful supervision, opportunity to learn, modern tools and flexible work culture.

If you want to be a part of our growing company that is driven by innovation and is focused on building a future together with our employees, consider applying.

Principle duties and responsibilities
Design, build, and test microservices for the NMS.
Work spec-first on new services; use AI coding agents to maintain and fix the legacy monolith, reviewing, verifying, and hardening what they produce.
Help carve well-bounded services out of the legacy monolith.
Collaborate through GitHub (PRs, reviews, CI) and take part in design decisions.

Supplementary Tasks:
As you ramp up, investigate and resolve customer-reported defects, reproduce the issue, find the root cause, and ship a verified fix.

our company enables organizations to address todays consumer and employee expectations by delivering effortless, consistent, and personalized digital-first experiences with CXone, the worlds leading cloud customer experience platform.
CSA team is dedicated to developing groundbreaking AI products that are transforming the industry. We promote a culture of collaboration, technical excellence, and the adoption of advanced technologies at scale.
We are looking for a Lead DevOps Engineer to join our CSA Infrastructure group. In this role, you will take a technical leadership position, driving the design, scalability, security, and operational excellence of our cloud platforms, while mentoring engineers and shaping DevOps best practices across teams.
How will you make an impact?
Lead the design, evolution, and operation of large-scale cloud infrastructure on AWS and Azure, ensuring high availability, security, resilience, and cost efficiency
Drive Infrastructure as Code (IaC) strategy and quality, ensuring consistency, reusability, and maintainability across environments and development groups
Act as a technical authority for troubleshooting complex production issues and leading root-cause analysis
Collaborate closely with development, QA, security, and product teams to align infrastructure with business and product needs
Mentor and guide DevOps engineers, fostering a culture of ownership, learning, and continuous improvement
Lead initiatives around observability, monitoring, alerting, and incident response
Proactively identify risks, technical debt, and optimization opportunities
Evaluate, introduce, and scale new tools, technologies, and AI-driven automation to improve efficiency and reliability.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of software stack with Nvidias hardware acceleration technologies.
This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers, product teams, Nvidia engineers, and lighthouse customers.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to 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:
Architect and lead the implementation of new features and joined solutions for AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more.
Explore deep code integration into various products, ensuring optimal integration between the portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to partners and customers.
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.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.
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 seeking a Principal Software Engineer to help define and build the next generation of solutions for running Microsoft Windows as a guest operating system on OpenShift Virtualization. In this role, you will apply your in-depth knowledge of Windows operating systems to contribute to a critical component of our OpenShift. You will work within a collaborative, globally distributed team and have the opportunity to make a significant impact on our cloud-native and Kubernetes virtualization offerings.

What you will do:

Architect, design, and implement features related to the Windows guest operating system experience within OpenShift Virtualization, focusing on performance, stability, and interoperability.

Serve as a primary resource for technical expertise on Windows guest issues, collaborating with upstream communities and other engineering teams.

Contribute to the full development life cycle, including requirement analysis, design, development, testing, and documentation.

Mentor junior team members and provide technical leadership on complex projects.

Engage with upstream communities like Kubernetes, KubeVirt, and QEMU to contribute and align our strategy.

Troubleshoot and resolve complex problems reported by customers and quality engineering teams.

Advocate for best practices in software development, including code quality, continuous integration, and automated testing.