

Qualified candidates will be comfortable participating in discussions and decisions around technical design and architecture, release planning, automated testing, and productization. This job role is integral to ensuring that new features, bug fixes, and updates are delivered efficiently and reliably to end-users.
What you will do:
Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to understand customer needs and use cases.
Apply technology background in software engineering and systems engineering to make contributions to a Python-based midstream automation platform in the areas of CI/CD, observability, and continuous testing.
Execute manual and automated tests for Red Hat AI midstream project/components and deliver clear status updates in a timely manner.
Explore, identify, and document unwanted behavior, output, and bias in Red Hat AI models. Advocate for the resolution of critical issues and communicate the impact on customers to the development team(s).
Monitor and participate in upstream AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.
Conduct new feature research and design test cases with emphasis on model performance, scalability, automation, and bias reduction.
Lead or contribute to technical initiatives that grow, improve, and scale our existing processes.
Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.
Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
What you will bring:
Advanced Linux administration skills, including containers
Advanced Python development and troubleshooting skills
Experienced with writing and reading Shell scripts (e.g. bash)
Experienced in building and maintaining delivery pipelines and workflows with GitLab CI, GitHub Actions, or comparable technologies
Ability to quickly learn and use new tools and technologies.
Understanding of DevOps methodology
The following will be considered a plus:
Experience with Pytest.
Experience with Ansible/Terraform
Experience working with Kubernetes/OpenShift, troubleshooting issues with them, and working with YAML, Kubernetes controllers, and operators.
משרות נוספות שיכולות לעניין אותך

What you will do:
Examine new project opportunities, identify the right approach to meeting or exceeding the requirements for these projects and develop solutions with an eye toward quality, security, maintainability, supportability, performance and resilience
Work closely with Engineering, Product Management and Support stakeholders to prioritize features and bugs during all phases of development
Participate in the interaction with relevant hardware partners with a focus on getting key functionality included in their roadmap
Communicate architectural concepts and decisions to various audiences
Be a leader and mentor for more junior members of the team and help expand their skill sets
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
What you will bring:
Strong experience with RHEL or other Linux distributions
Strong experience with software development with programming languages such as Python, Go or similar
Problem solving and troubleshooting skills with a focus on root cause analysis
Experience with container technologies, such as Kubernetes/OpenShift and Podman
Hands-on learning and demonstrable experience with implementing and owning complex features individually and in collaboration with others
Nice to have:
Previous experience with hardware acceleration, either generic GPU experience or specific ones, such as CUDA and ROCm
Knowledge of AI frameworks, such as PyTorch and/or TensorFlow
Familiarity with containerization and orchestration
Understanding of Open Source development models
Experience with test-base development and agile/scrum methodologies
משרות נוספות שיכולות לעניין אותך

Job Summary
Our mission is simple but critical: make sure nothing breaks what customers actually do. As the team manager, you’ll build and guide a cross-functional group of engineers who use AI tools and human insight to run automated regression tests, simulate key workflows, and flag breakages before customers ever see them. You’ll help set the standard for AI-enhanced product validation, ensuring that rapid development never compromises real-world reliability.
What You Will Do:
Lead and grow a cross-functional testing team focused on end-to-end workflow validation, not exploratory usability testing
Develop a regression-first test strategy rooted in replicating key customer workflows across platforms
Build scalable systems that simulate user behavior and validate product stability after each release
Leverage AI tooling (e.g., Testim, Diffblue, GPT, Lookback) to automate test execution, data synthesis, and failure detection
Collaborate with Engineering and Product to rapidly triage regressions and workflow breakages into actionable fixes
Design and evolve AI Lightspeed as an internal workflow automation system, with potential for future productization
Establish clear metrics for product reliability rooted in task success and regression coverage—not user perception
Represent the team’s work in roadmap and release planning conversations, ensuring product confidence at every milestone
What You Will Bring:
Experience in software quality engineering, technical validation, or product testing
Experience leading a team within a QA, DevOps, or platform validation team
Strong knowledge of real-world usage simulation and workflow-based test modeling
Comfort working with AI-enhanced tools like GPT, Diffblue, Testim, Mixpanel AI, or similar
Ability to work cross-functionally with Engineering and PMs to translate breakage insights into roadmap action
Strategic mindset with a hands-on approach: you care about automation and results, not just frameworks
Nice to Have:
Experience working on AI platforms or validating AI-integrated products
Experience building or working with automated regression and functional test suites, ideally enhanced by AI
Familiarity with observability and testing infrastructure at scale
A track record of driving innovation in software quality or test automation
Passion for ensuring real users aren’t surprised by what breaks
משרות נוספות שיכולות לעניין אותך

What you will do
Participate in architect and lead implementation tasks of the new features and solutions for OpenShift AI
Innovate in the MLOps domain by contributing meaningfully to upstream communities
Develop integrations between various portions of the OpenShift AI stack
Participate in 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 OpenShift AI
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
Help in mentoring, influencing, and coaching a distributed team of engineers
What you will bring
Experience developing applications in Go
Experience developing applications in Python
Experience developing applications in Kubernetes, OpenShift , or other cloud-native technologies
Ability to quickly learn and guide others on using new tools and technologies
Proven ability to innovate and a passion for staying at the forefront of technology.
Experience with distributed systems (especially those that run on Kubernetes ) and troubleshooting them
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Experience providing technical leadership in a global team and delivering on a vision
Excellent written and verbal communication skills
The following will be considered a plus:
While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Understanding of how Open Source communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
Experience with AI/ML Model training and tuning
Experience writing Kubernetes/OpenShift controllers and operators
Experience writing DSLs in Python or other languages
משרות נוספות שיכולות לעניין אותך

What will you do:
Collaborate with S2P (Source-to-Pay leadership to build a common vision and architecture based on Red Hat’s transformation strategy
Develop and maintain technical roadmaps and as-is architectural views for all S2P-related technology stack to support the S2P business strategy.
Support and contribute to prioritization and planning efforts that help realize the S2P technology roadmap.
Develop future-state technical architectures ensuring adherence to enterprise standards in areas such as security, compliance, resilience, and integrations.
Maintain close relationships with business and technology stakeholders, including product owners, platform architects, and delivery teams, to understand goals and requirements.
Identify opportunities to apply technology advances to achieve business outcomes and guide proofs of concept and business case activities.
Support project management/Scrum processes for strategic initiatives, including prioritization, sequencing, dependency analysis, and risk mitigation.
Serve as a consultative point of contact for technical delivery teams managing applications within the S2P portfolio.
Engage with S2P vendors and system integrators
Participate in architectural review activities to assess impacts and ensure adherence of target architectures, focusing on S2P-related capabilities.
Provide direction and definition for solutions that support overall business strategy.
Participate in and lead the realization of key initiatives.
Stay informed on industry innovations, trends, and approaches, and apply those insights to Red Hat’s S2P strategies.
Contribute to elevating the architectural consulting discipline through coaching and mentoring.
What will you bring:
10+ years in SAP Ariba architectural roles with deep technical and business process expertise.
Proven record of delivering solutions through the SAP Ariba ecosystem, optimizing, and transforming key Source-to-Pay (S2P) enterprise capabilities.
Experience with common applications that support the S2P capabilities.
Demonstrated ability to define and maintain strategies and technical/business roadmaps, including in complex delivery partnerships.
Strong experience in integrating solutions across multiple systems.
Proven ability to assess and manage the impacts of change on other areas of the business.
Experience with capability-based planning and prioritization techniques.
Superior written, verbal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
Strong problem-solving skills and ability to apply past experience to anticipate and mitigate risks.
Proficiency in modern techniques like design thinking and storytelling to foster alignment and urgency around future-state goals.
Ability to execute with speed and bring a sense of urgency to drive impact.
משרות נוספות שיכולות לעניין אותך

What you will do
Lead contributions to the architecture, design, and development of automated testing of new features and solutions for RHOAI, specifically over Model Serving capabilities
Innovate in the MLOps domain by participating in upstream communities
Ensure non-functional requirements including security, resiliency, and maintainability are met
Write integration and usability tests and work with software engineers to ensure product quality
Use CI/CD best practices to deliver high-quality 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 quality efforts
Give thoughtful and prompt code reviews
Represent RHOAI in external engagements including industry events, customer meetings, and open-source communities
Mentor and guide other quality engineers
What you will bring
Strong experience testing applications in Python, Go is a plus
Strong experience in Kubernetes or Openshift
Strong experience in CI/CD systems
Ability to quickly learn and guide others on using new tools and technologies
Experience with source code management tools such as Git
Innovation skills and a passion for technology
Strong system understanding and troubleshooting capabilities
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Excellent written and verbal communication skills
The following will be considered a plus:
While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess
Experience in AI space
Experience with MLOps, mainly over tests of the Models served by MLOps platforms
Understanding of how Open Source and Free Software communities work
Experience with development for public cloud services (AWS, GCE, Azure)
משרות נוספות שיכולות לעניין אותך

Responsibilities include performing administrative tasks, assisting other company departments as needed, and ensuring smooth daily operations. You also may be required to gather data from different sources, analyze it to help the company make informed decisions, as well as create reports and dashboards to visualize and communicate the data to other stakeholders. The ideal candidate will bring strong organizational skills and be comfortable with change and complexity, all while playing a pivotal operations role for a highly distributed team.
What you will do
Collaborate with multiple team associates to manage cadence and tracking of plans, budgets, and metrics for the organization as a whole.
Help manage procurement processes on behalf of the team and Red Hat, ensuring compliance with company policies and procedures while achieving timely results.
Introduce new ideas and processes as needed to improve team performance and productivity.
Collect, analyze, and interpret data to identify trends and insights.
Assist with the planning, execution, and monitoring of operational projects.
Document and educate associates on departmental processes.
Prioritize and manage a queue of support tickets, ensuring prompt and professional responses.
Provide ad-hoc operational support within Red Hat engineering as needed.
What you will bring
Foundational knowledge of project management principles
Experience with or knowledge of procurement systems
Familiarity with open source foundations, project memberships, tools, and methods
Analytical skills - including the ability to collect, interpret, and visualize data for reporting
Strong time management skills, attention to detail, and a proactive approach to learning and adapting to a dynamic environment
Proficiency with Google Workspace or similar tooling
Familiarity with accounting methods
Strong written and verbal communication skills in English
משרות נוספות שיכולות לעניין אותך

Qualified candidates will be comfortable participating in discussions and decisions around technical design and architecture, release planning, automated testing, and productization. This job role is integral to ensuring that new features, bug fixes, and updates are delivered efficiently and reliably to end-users.
What you will do:
Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to understand customer needs and use cases.
Apply technology background in software engineering and systems engineering to make contributions to a Python-based midstream automation platform in the areas of CI/CD, observability, and continuous testing.
Execute manual and automated tests for Red Hat AI midstream project/components and deliver clear status updates in a timely manner.
Explore, identify, and document unwanted behavior, output, and bias in Red Hat AI models. Advocate for the resolution of critical issues and communicate the impact on customers to the development team(s).
Monitor and participate in upstream AI/ML communities, evaluating new AI/ML-related technologies in the space and considering potential integrations and collaborations upstream.
Conduct new feature research and design test cases with emphasis on model performance, scalability, automation, and bias reduction.
Lead or contribute to technical initiatives that grow, improve, and scale our existing processes.
Contribute to the development of the open-source projects that comprise Red Hat’s AI family of products.
Regularly communicate with project stakeholders including other teams of Red Hat engineers, product managers, consultants, management, and senior leadership.
What you will bring:
Advanced Linux administration skills, including containers
Advanced Python development and troubleshooting skills
Experienced with writing and reading Shell scripts (e.g. bash)
Experienced in building and maintaining delivery pipelines and workflows with GitLab CI, GitHub Actions, or comparable technologies
Ability to quickly learn and use new tools and technologies.
Understanding of DevOps methodology
The following will be considered a plus:
Experience with Pytest.
Experience with Ansible/Terraform
Experience working with Kubernetes/OpenShift, troubleshooting issues with them, and working with YAML, Kubernetes controllers, and operators.
משרות נוספות שיכולות לעניין אותך