דרושים » הנדסה » Principal Software Engineer - OpenShift AI Observability

The OpenShift AI team is 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 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.

The OpenShift team is looking for a Machine Learning Engineer with experience in building, scaling, and monitoring AI/ML systems 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 shape the observability and reliability of GenAI workloads, 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 ML engineer for one of our OpenShift AI teams, you will have the opportunity to design and build systems that monitor, validate, and improve AI model performance in production. 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 ML engineers, software developers, and cross-functional teams. You should have a passion for observability, MLOps, and building robust systems for real-world AI.
What you will do:
Architect and lead implementation of new features and solutions for RHOAI, focusing on observability, insights, and optimizations for large-scale GenAI workloads running on Kubernetes
Innovate in the MLOps domain by participating in leading upstream communities such as llm-d
Provide technical vision and leadership on critical and high impact projects
Use CI/CD best practices to deliver solutions as productization efforts into RHOAI
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.
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements
Collaborate with cross-functional teams to identify opportunities for AI integration within the software development lifecycle, driving continuous improvement and innovation in engineering practices
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI
Mentor, influence, and coach a distributed team of engineers.

The Ecosystems Engineering group is seeking a Senior 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 our 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.

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.

We are looking for a Principal Solution Engineer to join our Ecosystem Engineering team, focusing on the optimization of AI/ML models inference and serving. In this role, you will identify, build, and optimize emerging use-case patterns within the AI and vertical industries. These patterns will leverage our products, partner offerings, and open source projects deployed on our portfolio, with a specific emphasis on model serving, inference, and MLOps workflows. You will collaborate closely with our engineering and product management teams, using insights gained from interactions with partners and customers to influence product adoption and development. As part of a geographically distributed team, you will engage with multiple engineering teams and open source communities globally. Success in this role requires strong motivation, curiosity, a passion for problem-solving, and hands-on experience with Linux technologies and open source.
What you will do:
Identify emerging patterns for applying our offerings to business problems
Discover and describe what differentiates our solutions from competitive alternatives by working directly with key partners and customers who deploy and operate our solutions
Create reference architectures for optimized AI workloads running on/with our portfolio
Create and conduct on-demand demo labs, providing an initial practical experience for key partners and customers
Provide technical vision and leadership on critical and high impact projects
Communicate and promote the results of reference architectures globally through publication of blogs and speaking at webinars and conferences
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge.

Our Global Engineering organization is looking for a Principal Software Engineer to join the Telco Partner Architecture team in Telco Engineering. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication networks, contributing to industry-leading technologies in the Kubernetes and Telecom ecosystem with Telco Partners in EMEA or APAC, for example CNCF projects, and O-RAN.
As a part of a geographically distributed team, you will work with multiple teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where we have a legal presence.
What you will do
Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing platforms with Partner technology
Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes
Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations
Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings
Evangelize the team's work through blogs, web postings, or conference talks
Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices.

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.

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

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 highly motivated Java Software Engineer to join our Cloud Analytics team! You will be taking part in developing a complex AWS-based architecture for large Organizations. The applications we develop are part of our offering, our cloud solutions suite which is deployed in multiple regions across the world and serves hundreds of customers.
How will you make an impact?
Develop the optimal microservice architecture using AWS technology.
Design and implement microservices in a Java Spring Boot environment.
Enhance product features through active participation in development.
Analyze feature requirements and create comprehensive design documents.
Review design documents with relevant stakeholders to ensure alignment.
Collaborate with the group to refine and iterate on feature designs.
Implement agile development methodologies to deliver high-quality features efficiently.