Principal Software Engineer

Waterford City

Red Hat

Red Hat is the world’s leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies.

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RHOAI Principal Software Engineer - Workload Orchestration

Job Summary:

Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?

The Red Hat OpenShift AI team is looking for a Principal 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 MLOps platforms, participate in open source communities, contribute to the development of the OpenShift AI product, and be at the forefront of the exciting evolution of AI. You’ll join an ecosystem that fosters continuous learning, career growth, and professional development. 

You will be contributing as a core engineer for the Workload Orchestration team. In this role, you will be working on solutions that enhance Kubernetes-native workload orchestration, focusing on AI/ ML jobs, enabling enterprise customers to scale and manage their AI-driven applications across the hybrid cloud. You will also help build SDKs which help simplify the integration of tools like Ray, Kueue, and Kubeflow via IDEs such as Jupyter Notebooks, empowering data scientists and ML engineers to streamline complex workflows with ease. 

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 Red Hat, open-source, and partner technologies into a cohesive platform.


 

What you will do

  • Architect and lead implementation of new features and solutions for OpenShift AI

  • Innovate and collaborate closely with upstream communities contributing meaningfully to the open-source efforts around Kubernetes workload orchestration.

  • Provide technical vision and leadership on critical and high-impact projects

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

  • Write high-quality, including unit and integration tests, and collaborate with quality engineers to ensure top-tier 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 OpenShift AII in external engagements including industry events, customer meetings, and open source communities

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


 

What you will bring

  • Advanced experience developing applications in Go or Python, or other language

  • Advanced experience in Kubernetes, OpenShift or other cloud-native technologies

  • Ability to quickly learn and guide others on using new tools and technologies

  • Experience with source code management tools such as Git

  • Proven ability to innovate and a passion for staying at the forefront of technology.

  • Excellent distributed system understanding and troubleshooting capabilities, 

  • Autonomous work ethic, thriving in a dynamic, fast-paced environment.

  • Technical leadership acumen in a global team environment and executing on team 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 and Free Software communities work

  • Experience with development for public cloud services (AWS, GCE, Azure)

  • Experience working with or deploying MLOps platforms

  • Familiarity with data science workflows and machine learning pipelines, batch processing and/ or gang-scheduling.

  • Experience writing Kubernetes/OpenShift controllers and operators

  • Experience writing user-facing SDK packages in Python or similar

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Diversity, Equity & Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from diverse backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions of diversity that compose our global village.

Equal Opportunity Policy (EEO)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Azure CI/CD Computer Science Engineering Git Jupyter Kubeflow Kubernetes Linux Machine Learning MLOps Open Source Pipelines Python Security

Perks/benefits: Career development Team events Transparency

Regions: Remote/Anywhere Europe
Country: Ireland

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