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Were looking for Senior Software Engineers, Principal Software Engineers, and Senior Principal Software Engineers to join the Al Platform Core Components team. The AI Platform team helps power our enterprise Al products, like RHEL Al and OpenShift Al, through our high-performing and secure Al-building platform.
This senior role offers opportunities to architect and drive critical components of our AI platform, with a focus on automating and optimizing the integration and deployment of software, ensuring high quality and fast delivery. You will shape the technical direction that powers our enterprise AI products like RHEL AI and OpenShift AI, while mentoring team members and establishing best practices.
What you will do:
Design, implement, and maintain the product delivery pipeline by automating build, test, and deployment processes to enhance efficiency and reliability
Monitor CI/CD processes and performance, identify bottlenecks, and implement improvements
Work closely with Product Management and other engineering teams to ensure smooth deployment cycles and coordinate releases
Integrate automated testing into the delivery pipeline, ensuring code quality and reducing manual testing efforts
Maintain clear and comprehensive documentation for CI/CD processes, guidelines, and best practices
Implement security best practices in the CI/CD pipelines, ensuring compliance with industry standards
Diagnose and resolve issues in the CI/CD pipelines and assist with deployment failures
Coach and mentor junior members of the team
Participate in upstream AI/ML communities with a focus on learning more about the various technologies and how they might be used within our offerings.

The Ecosystems Engineering group is seeking a Senior Quality Engineer to join our growing team.
In this role, you will work on our OpenShift Container Platform, built on container technology and the Kubernetes cluster management system. You'll be responsible for all aspects of quality for OpenShift, including designing test plans, extending automation frameworks, and developing new automated tests and infrastructure. You will make sure our solutions fulfill the highest possible enterprise quality. As a Senior Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including containers, Kubernetes, OpenShift, focused on deep integration of AI stack and hardware accelerators.
You will also be working closely with the product management, other engineering groups within, and with our partners and lighthouse customers.
What you will do:
Work in a fast-paced Agile global environment of talented Engineers
Execute manual and automated tests and deliver clear status in a timely manner.
Conduct failure analysis, explore, identify and document new bugs, advocate for the resolution of bugs and communicate the impact on customers to developers and support;
Coordinate cross components teams to be responsible for bug verification, regression testing.
Work with the product release related teams to be responsible for the product delivery related testing;
Design, develop and maintain automation frameworks, CI and scripts with Golang for OpenShift testing and implementation
Develop and implement tests for AI tools that leverages hardware accelerators (e.g., GPUs)
Collaborate with hardware and software engineers to ensure optimal integration between AI and accelerators
Write high-quality, maintainable, and efficient code on open source repositories
Participate in code reviews and provide technical mentorship to junior engineers
Stay up-to-date on the latest advancements in AI frameworks, and hardware accelerators.

We are seeking a Full-Stack Software Engineer to join our team, responsible for validating third-party cloud AI models on our platforms. This role blends front-end development, back-end services, and cloud-native technologies to build end-to-end systems that ensure high-quality AI integrations for our customers.
Youll design and deliver scalable microservices and intuitive web interfaces that help benchmark, validate, and publish AI modelsplaying a key role in how customers experience AI on our enterprise platforms.
What you will do:
Build and maintain full-stack applications that power model validation pipelinesfrom backend microservices to front-end dashboards.
Develop clean, efficient APIs to automate model benchmarking, inference performance testing, and accuracy evaluation.
Design user-friendly web interfaces that visualize model insights and validation results for both internal teams and external users.
Contribute to CI/CD workflows for automated testing, deployment, and continuous integration of model validation tools.
Work closely with platform engineers, DevOps specialists, and data scientists to ensure a seamless AI model lifecycle experience.
Troubleshoot issues across the stack, improve performance, and ensure security and reliability across services.
Actively participate in agile processes, sprint planning, and technical reviews, contributing to a collaborative, high-performing team culture.
Share ideas that improve user experience, developer workflows, and validation system scalability.

We are looking for a Quality Engineer to join the team responsible for implementing, testing and maintaining a cloud service on our AI platforms. In this role, you will design, implement, and execute tests for the cloud service, ensuring that performance benchmarking, model accuracy, and integration pipelines are reliable, scalable, and robust.
You will help establish quality best practices across the cloud service and contribute to automated test frameworks that support CI/CD processes, while working closely with software engineers, data scientists, and platform teams to deliver high-quality experiences.
What you will do:
Design and develop automated test suites for backend services and front-end UIs involved in the cloud service
Validate the performance and accuracy evaluation pipelines to ensure reproducibility and correctness of model results
Build test coverage for APIs, microservices, and data processing components across the stack
Develop and execute performance, integration, and end-to-end tests
Collaborate with developers and other quality engineers to define test plans and acceptance criteria for new features
Integrate automated tests into CI/CD pipelines to support early issue detection and deployment confidence
Track, investigate, and document bugs and regressions, and help drive resolution
Continuously evaluate and improve testing frameworks and tooling
Participate in agile development practices and help foster a culture of quality across the team.

We are seeking a Software Engineering Manager to lead a team focused on validating third-party AI models for compatibility with our AI platforms. This role involves overseeing the development of automated pipelines for benchmarking inference performance, evaluating accuracy, and enabling the publication and internal consumption of validated models. The ideal candidate brings strong leadership skills, a DevOps mindset, and experience building scalable microservices.
What you will do:
Lead a team responsible for validating third-party AI models on our AI platforms.
Design and maintain automated pipelines for model performance and accuracy evaluation.
Ensure validated models are published and accessible for customer use.
Collaborate cross-functionally with engineering, product, and sales enablement teams to surface validation data and support go-to-market efforts.
Guide architectural decisions around microservices and devops practices to support scalable and reliable validation workflows.
Foster a high-performing team culture through mentorship, technical guidance, and career development.
Collaborate with partners who are both consumers and contributors of the team's deliverables.
Foster a culture of innovation, collaboration, and continuous learning.
Manage project timelines and resources.
Communicate technical plans and progress to stakeholders.

Our AI Platform Core Components (AIPCC) Dev Platform team is looking for a Product Owner to act as the liaison between a cross-functional engineering team and its stakeholders. You will own and continuously adjust the product-delivery team backlog to react to both short-term business needs and the long-term vision.
In this role, you will be a member of the AI Engineering Dev Platform team, responsible for understanding and helping to convey inputs from Product Management, Engineering Management, Support, and Upstream communities to the team. This position is a great opportunity to grow leadership skills while working alongside some of the brightest developers and stakeholders in the open source industry.
What you will do:
Take a leadership role in a cross-functional team by defining priorities, ensuring alignment with stakeholders, and driving execution.
Act as the primary point of contact between Product Management, Engineering, and similar roles to ensure alignment on priorities and deliverables.
With the Engineering team, split features and epics into stories or tasks.
Define Acceptance Criteria and ensure that the team understands the what to work on.
Communicate product goals effectively to ensure the team can work autonomously and remain unblocked.
Provide key information such as delivery plans by acting as an information radiator to the teams and stakeholders.
Proactively monitor community related (upstream) and product and services related (downstream) communication channels and act as a voice for the team.
Engage in and ensure effective on-going communication between customers, customer facing teams, and stakeholders and the engineering teams to allow for continuous feedback and improvement.

Required Tech Lead - AI Dev Platform
Job Summary
The AI Core Components (AIPCC) Dev Platform team, part of our AI Engineering organization, is seeking a seasoned technical leader who is passionate about open source, developer enablement, and the infrastructure that powers our AI/ML products.
As the Tech Lead, youll play a critical role in shaping the technical direction of the Dev Platform team, providing technical oversight, mentorship, and strategic guidance to engineers as they build and support internal platforms and tools that accelerate AI development across. You will work hands-on with the team to architect solutions, review code, unblock challenges, and cultivate a culture of technical excellence.
In this role, youll partner closely with Product Management, cross-functional engineering teams, and external collaboratorsincluding open source communities and hardware partnersto guide the design and development of high-impact platform capabilities. Your leadership will directly influence the success of os rapidly growing portfolio of AI/ML offerings.
If youre energized by solving complex problems, growing technical talent, and scaling infrastructure for innovation, this is an opportunity to make a meaningful impact.
What You Will Do:
Lead technical strategy and decision-making for the Dev Platform team, ensuring architectural consistency, scalability, and maintainability across projects.
Act as a technical mentor and coach, guiding team members through design, implementation, and career development.
Provide technical oversight and review of engineering work to uphold quality, security, performance, and operational best practices.
Collaborate with Engineering, Product Management, and Support to scope, prioritize, and deliver high-value platform capabilities.
Work with team leadership to evaluate new project opportunities, proposing effective technical approaches, and driving solutions from concept to production.
Serve as a point of technical escalation for complex development challenges or infrastructure bottlenecks.
Represent the Dev Platform team in cross-functional initiatives and advocate for developer platform needs across the AI Engineering organization.
Engage with upstream open-source AI/ML communities to inform our strategy and align our platform development with evolving community standards and tools.
Collaborate with hardware partners to ensure emerging AI acceleration technologies are evaluated and integrated where appropriate.

The Software Engineering team is seeking an experienced Senior Frontend Engineer to join our team.
In this position, you will contribute to developing cutting-edge front-end solutions, ensuring seamless user experiences across our web applications. You will leverage your expertise in React, CSS, HTML, Webpack, and other front-end technologies to build enterprise-ready applications. Additionally, you will work with CI/CD pipelines to streamline development workflows and ensure high-quality code delivery.
As a Senior Frontend Engineer, you will be responsible for designing, developing, and implementing new features while collaborating closely with designers, backend engineers, and stakeholders to create high-performance, scalable applications.
What you will do:
Design and develop high-quality frontend features and components using React, CSS, HTML, and Webpack.
Optimize application performance, ensuring fast and smooth user experiences.
Implement and maintain CI/CD pipelines to automate testing and deployment processes.
Collaborate with backend engineers to integrate frontend components with APIs and microservices.
Maintain and improve frontend build processes, ensuring efficient development workflows.
Submit bug fixes, review code contributions, and follow best practices for code quality and maintainability.
Work closely with UX designers to translate design concepts into functional user interfaces.
Contribute to open-source projects and participate in community discussions.

OpenShift Virtualization team is looking for an engineer to join its quality assurance team. In this role, you will work on OpenShift Container Platform, built on Kubernetes, KubeVirt and plethora of other open-source projects. You'll be responsible for the quality of its virtualization and networking functionality, including designing test plans, extending automation frameworks, and developing new automated tests. You will make sure our solutions fulfill the highest possible enterprise quality, performance, usability, and supportability. As a Software Quality Engineer, you will gain a deep technical understanding of a variety of popular technologies, including Virtualization, containers, Kubernetes, Red Hat OpenShift, etc.
You will be a part of our culture that makes us unique in the Industry, enriched with Open Management Practices, Open Decision Framework, and diversity and inclusion, to name a few. Regardless of your role and designation, you will have the freedom to showcase your leadership skills and ability to bring innovative solutions to complex problems at any level that will help you to get wider visibility in our organization.
What you will do:
As part of a geographically distributed team, work with other software and quality engineers on design and implementation of features crossing multiple components within the product.
Implement and execute manual and automated tests for OpenShift Virtualization and deliver clear status in a timely manner.
Design, develop and maintain automation frameworks, CI and scripts with Python for testing and implementation.
Explore, identify and document new bugs. Advocate for the resolution of bugs and communicate the impact on customers to developers and support.
Coordinate cross components teams to be responsible for bug verification and regression testing.
Constantly learn new things and maintain an overview of current technologies.
Work in a fast-paced Agile global environment of talented Quality Engineers.

The Ecosystems Engineering group is seeking a Software Engineer in our Boston, MA and Raanana offices.
In this role, you will work with a diverse team of highly motivated engineers on designing and implementing AI/ML workflows for security solutions . You will also be working closely with the product management, other engineering groups within, and with our partners and lighthouse customers.
What you will do:
Architect, lead, and contribute to the design and implementation of AI workflows in the security space
Implement, deploy, optimize, and otherwise improve Agentic Workflows running on OpenShift
Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and the integrations between their technology and that of ours
Collaborate with partners to leverage our combined technologies in order to solve difficult technical and business problems.

The Engineering team in Israel is seeking a Security Solution Architect with deep understanding of software development, security principles, and industry best practices. You will architect, develop, and deploy secure systems while ensuring compliance with security regulations.
Working directly with partners and customers, you'll improve their security posture using our technologies and design new solutions. You'll collaborate with engineering teams across the organization to implement new security features upstream and in our products.
The role involves architecting, designing, and implementing within our wide portfolio of infrastructure software
What you will do:
The exact area of the product that you work on will depend on your skills and interests. Some of your responsibilities may include:
Telecom and Edge Security: Protecting sensitive data, network infrastructure, and user privacy in telecom systems (5G, IMS, VoLTE).
Microservices Security: Designing and implementing secure communication channels, authentication, authorization, and data protection mechanisms for microservices.
Kubernetes and Container Security: Ensuring the security of container images, network policies, and resource access controls within Kubernetes environments.
Performance Optimization: Balancing security measures with system performance and user experience, with a focus on low-latency solutions for time-sensitive applications.
Virtualization Security: Implementing and enhancing security features for virtualized environments, including work with emerging technologies like Intel TDX (Trust Domain Extensions) for confidential computing.
Low Latency
Network Security: Designing and implementing secure networking solutions, including BGP implementations, FRR (Free Range Routing) configurations, and IPv6 security measures.
Data Protection: Developing and implementing robust disk encryption solutions to safeguard data at rest across various storage systems and cloud environments.
Developing new features to OpenShift and various other products, while working closely with various strategic partners, engineering groups, QA, Integration teams, in order to deliver valuable solutions to our partners and customers.

The Engineering team is looking for a Senior Software Engineer to join our storage group. You will assist in the development and productization of software that helps us meet the needs of virtualization customers with existing SANs looking for an alternative to VMware. The teams broader mission is to deliver end-to-end solutions that further establish us as a leader in specific emerging markets, emphasizing upstream development and community collaboration.
What you will do:
Develop and maintain an OpenShift operator focussed on the experience of utilizing storage
Contribute code to increase the usability, scalability, and reliability of our offerings
Participate in peer review to increase the quality of our codebase, and triage customer issues
Help and develop peers capabilities through knowledge sharing, mentoring, and collaboration
Function as a productive member of a global team.

Required Senior Consultant - Storage
Job Summary
The Senior Storage Consultant will play a key role in designing, implementing, and optimizing scalable storage solutions for enterprise clients. This position requires deep expertise in software-defined storage systems, particularly Ceph, to deliver innovative and reliable storage architectures tailored to client needs.
What You Will Do:
Design, deploy, and manage storage solutions with a focus on Ceph clusters, including block, object, and file storage (RBD, RADOSGW, CephFS).
Configure and optimize Ceph components such as CRUSH maps, OSDs, monitors, and metadata servers for high performance and reliability.
Develop Proof of Concepts (POCs) and provide technical leadership in large-scale storage projects.
Troubleshoot and resolve complex issues related to Ceph clusters and client environments.
Collaborate with clients to align storage strategies with business objectives while ensuring scalability and cost efficiency.
Provide knowledge sharing and training sessions to internal teams and clients on Ceph architecture and best practices.