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The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. 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 on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. 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. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s 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.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our 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.

Our team, a vital part of the Telco Verification Pillar, is developing and operating a cutting-edge CI/CD service to empower our Testing Teams with enhanced automation capabilities. As a Principal Software Engineer specializing in Test Automation, CI/CD, and DevOps, you will be instrumental in ensuring the quality, reliability, and efficiency of this critical service. You will collaborate closely with cross-functional teams to design, implement, and maintain robust automated testing frameworks, continuous integration/continuous deployment pipelines, and best-in-class DevOps practices.

What you will do:

Design, implement, and manage end-to-end CI/CD pipelines to automate build, test, and deployment processes.

Foster seamless collaboration with development, QA, and operations teams to fully integrate testing and deployment workflows.

Proactively monitor and analyze test results, identify root causes of issues, and work collaboratively with development teams for timely resolution.

Develop and maintain highly scalable and resilient infrastructure as code (IaC) using tools like Ansible or similar industry-standard solutions.

Implement and manage containerization and orchestration solutions using Docker and Kubernetes, with OpenShift knowledge being a significant advantage.

Identify and address test coverage gaps within existing test pipelines, proposing and developing new automated tests in close collaboration with Functional Testing (FT), System Testing (ST), and Solution Lifecycle Management (SLCM) teams.

Ensure the highest standards of security, scalability, and reliability for all CI/CD and DevOps processes.

Continuously research and integrate industry best practices and emerging technologies in test automation, CI/CD, and DevOps.

Act as a mentor and provide technical guidance to junior engineers, fostering a culture of best practices and continuous learning.

Leverage AI-driven insights to optimize test execution, prioritize critical test cases, and reduce overall testing cycles.

Integrate AI/ML models into test automation frameworks to enhance test case generation, anomaly detection in test results, and intelligent defect prediction.

We are looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate us, open-source, and partner technologies into a cohesive platform.

What you will do:

Architect and lead implementation of new features and solutions for RHOAI.

Innovate in the MLOps domain by participating in upstream communities.

Provide technical vision and leadership on critical and high impact projects.

Ensure non-functional requirements including security, resiliency, and maintainability are met.

Write unit and integration tests and work with quality engineers to ensure product quality.

Use CI/CD best practices to deliver solutions as productization efforts into RHOAI.

Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members.

Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements.

Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts.

Give thoughtful and prompt code reviews.

Represent RHOAI in external engagements including industry events, customer meetings, and open source communities.

Mentor, influence, and coach a distributed team of engineers.

We are looking for a talented Algorithm Engineer to join our Cognitive AI team. In this role, you will design, build, and optimize LLM-based agents that power real-time problem solving. You will be hands-on in Python, research-driven, and passionate about creating intelligent, scalable AI solutions that make a real impact.
Responsibilities:
Design, develop, and optimize LLM-based agents for real-world production use cases.
Build intelligent agent frameworks that orchestrate reasoning across tools, APIs, and knowledge bases.
Deploy and maintain LLM applications in production, ensuring performance, scalability, and reliability.
Research new approaches in LLMs and agent architectures, and integrate cutting-edge techniques into production systems.
Collaborate with cross-functional teams (product, engineering, data) to translate business needs into AI solutions.
Continuously monitor and optimize deployed models, diagnosing and resolving bottlenecks.
Think creatively about complex problems and deliver technological Innovation

We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications.
Work with large-scale visual datasets to train, test, and validate models.
Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing.
Enhance the efficiency, accuracy, and robustness of existing vision-based models.
Collaborate with software engineers, data scientists, and product teams to integrate algorithms into AI-powered platform.
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models.

We are looking for Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.
We believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, weve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

We are looking for an experienced Backend Developer to join Bookaways engineering team. In this role, you will work on the companys core product, and its expansion to support new markets. You will have a major impact across the R&D department.

Your responsibilities will include designing & implementing complex architecture, executing solutions with a focus on performance, scalability and security, while following best practices.

You will take ownership of features from initial design through architecture planning, implementation and deployment to production.

If you are passionate about being a tech influencer and making a broad impact on the entire R&D department and our customers, Bookaway is the right place for you!

Nice to know:
Our offices are located in Ramat Gan, Israel.
We work in a hybrid model, 3 days in the office.

Were looking for a Principal Software Engineer to join our AI Catalyst Platform team as a key enabler for rapid AI prototyping and operational efficiency. This role focuses on providing technical and operational support to the AI Catalyst team, which explores upstream AI initiatives and drives innovation across the organization.

Youll help accelerate the development of AI prototypes by ensuring seamless platform integration, CI/CD pipelines, and other critical infrastructure to enable high-speed experimentation and iteration.

What youll do:

Platform Support and Optimization: Design and maintain scalable, secure, and efficient platforms to support AI Catalyst team initiatives, ensuring smooth integration of AI models and workflows.

Infrastructure Management: Provide expertise in Kubernetes and cloud platforms (GCP, AWS, Azure) for container orchestration, scalable deployments, and real-time operations.

Partner with the AI Catalyst team to identify bottlenecks, remove blockers, and optimize workflows for faster delivery of AI prototypes.

Technical Leadership: Lead the implementation of critical systems (APIs, orchestration, observability, deployment) to ensure speed, reliability, and maintainability.

Cross-Functional Collaboration: Work closely with engineering, product, and design teams to align technical priorities and drive impactful AI initiatives.

Mentorship: Guide and mentor engineers, fostering a culture of technical excellence, collaboration, and rapid execution.

Demonstrate proficiency in Kubernetes for container orchestration and scalable deployments.

Mentor senior engineers and contribute to a culture of technical excellence, velocity, and pragmatic decision-making.

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.

Explore and experiment with emerging AI technologies from the open source communities relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

Were growing and looking for another important piece of the puzzle DevOps Infrastructure Team Leader.
What youll do:
Establish and nurture a culture of excellence within the DevOps team, promoting best practices, effective work processes, and methodologies. Lead by example and mentor the team to foster a collaborative and high-performing environment.
Set clear goals and technical direction, aligning team priorities with organizational objectives and ensuring timely execution of deliverables.
Recruit, coach, and develop engineers, fostering a culture of continuous learning and ownership while supporting their professional growth.
Design, implement, and maintain scalable, secure, and reliable infrastructure solutions.
Build and maintain automation frameworks to streamline deployments, enforce security and compliance standards.
Continuously evaluate and introduce new technologies, methodologies, and tools to improve performance, observability, resilience, and scalability.
Act as the technical point of contact for DevOps, guiding the team through complex challenges and advocating for DevOps principles across the organization.

We are looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
Design, build, and enhance the core integrations and tools that our customers use to send observability data to the platform.
Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
Thrive in a fast-paced startup environment, and value taking ownership of your work.
Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
Care deeply about crafting elegant, user-friendly solutions for complex problems.
Enjoy building the kind of developer tools you would want to use yourself.
Believe in modern software development that values rapid iteration and continuous delivery.
Passionate about the open-source community and excited about contributing to a fully open-source integrations.
Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
Like using modern AI tools to boost your productivity and write better code.

We are seeking an experienced AI Development Expert with deep technical expertise, strong system-level thinking, and a proven ability to define and implement AI-based solutions across an organization. This role involves shaping AI system architecture, selecting appropriate technologies, establishing standards, building infrastructure, and advancing innovation in areas such as Machine Learning, Natural Language Processing, and other intelligent applications.
How will you make an impact?
Write high-quality, efficient Python code, including model development, data processing scripts, and MLOps infrastructure.
Guide and advise technical teams on architecture selection, development methodologies, and MLOps practices.
Partner in defining end-to-end AI solution architecture from infrastructure to product.
Support selection and implementation of models, platforms, and advanced AI/ML tools.
Manage risks and address scalability, security, and regulatory aspects of AI solutions.
Write architecture documents, conduct technology reviews, and contribute to strategic projects.
Research and support new technologies (Generative AI, LLMs, CV, and more) according to organizational needs.
Collaborate with development, product, and data teams to optimally integrate AI solutions into existing and new products.

We are looking for a talented, proactive, and innovative software engineer to join the SD-WAN Group. In this role, you will help design and implement our SD-WAN product, tackling complex technical challenges and building robust, scalable, and high-quality solutions.
You will work with a diverse technology stack including C/C++, Go, and Rust, collaborating across the organization to deliver impactful features while continuously learning and applying new skills.
Key Responsibilities
Design and deliver robust, efficient, and maintainable code for the SD-WAN product.
Adopt and integrate new technologies to solve complex problems and enhance product capabilities.
Collaborate with teams to design, prototype, and validate solutions for cross-organization integrations.
Maintain and improve performance, scalability, and code quality through problem-solving, innovation, and automation.

We are looking for a creative and passionate Customer Success Engineer to join the Web & Cloud management group, and be the star of our journey of growth and delighted customers of Smart-1-Cloud (our new Cloud product)
The Customer Success Engineer will own the Customer related technical activities and communications, while being practically part of the Smart-1-Cloud product development team.
Smart-1-Cloud is a new cloud product at the inception phase , in the future the responsibility may expand to additional products in the Security Management area.
Key Responsibilities
As part of the team you will master and perform all the technical actions needed for this SaaS product to serve the customers properly.
Be a focal point for escalation from Customer Support (TAC) & Customer Focus Group (CFG) and periodically transfer knowledge and training.
Proactively approach customers on relevant occasions and maintain a rich dialogue with the customers, understanding and improving their experience.
Monitor & analyze the Customer journey in various scenarios : On-boarding, Support, Renewal.
Provide technical and product assistance during the onboarding process for key customers.