About the Job

Do you want to help shape the future of AI by building robust infrastructure and tools for developing trustworthy large language models and agentic workflows Were seeking a software engineer who combines strong systems engineering skills with a passion for AI safety to develop frameworks that ensure AI systems behave reliably and align with human values.

The OpenShift AI team is looking for a Senior Software Engineer with Kubernetes and MLOps or LLMOps experience to join our rapidly growing engineering team. Our teams focus is to make machine learning model deployment and monitoring seamless scalable and trustworthy across the hybrid cloud and the edge. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms.

In this role youll be contributing as a technical infrastructure expert for responsible AI features of the open source Open Data Hub project by actively participating in KServe TrustyAI Kubeflow and several other open source communities. You will work as part of an evolving development team to rapidly design secure build test and release model serving trustworthy AI and model registry capabilities. The role is primarily an individual contributor who will be a key notable contributor to trustworthy AI and MLOps/LLMOps upstream communities and collaborate closely with the internal cross-functional development teams.

This role can be based in the UK (Newcastle) Ireland (Dublin) or the United States (preferably East Coast). Candidates should reside within a reasonable distance of a Red Hat office in one of these locations.

What You Will Do

• Lead the architecture and implementation of MLOps/LLMOps systems within OpenShift AI establishing best practices for scalability reliability and maintainability while actively contributing to relevant open source communities

• Design and develop robust production-grade features focused on AI trustworthiness including model monitoring bias detection and explainability frameworks that integrate seamlessly with OpenShift AI

• Drive technical decision-making around system architecture technology selection and implementation strategies for key MLOps components with a focus on open source technologies like KServe and TrustyAI

• Define and implement technical standards for model deployment monitoring and validation pipelines while mentoring team members on MLOps best practices and engineering excellence

• Collaborate with product management to translate customer requirements into technical specifications architect solutions that address scalability and performance challenges and provide technical leadership in customer-facing discussions

• Lead code reviews architectural reviews and technical documentation efforts to ensure high code quality and maintainable systems across distributed engineering teams

• Identify and resolve complex technical challenges in production environments particularly around model serving scaling and reliability in enterprise Kubernetes deployments

• Partner with cross-functional teams to establish technical roadmaps evaluate build-vs-buy decisions and ensure alignment between engineering capabilities and product vision

• Provide technical mentorship to team members including code review feedback architecture guidance and career development support while fostering a culture of engineering excellence

What You Will Bring

• 5 years of software engineering experience with at least 4 years focusing on ML/AI systems in production environments

• Strong expertise in Python with demonstrated experience building and deploying production ML systems

• Deep understanding of Kubernetes and container orchestration particularly in ML workload contexts

• Extensive experience with MLOps tools and frameworks (e.g. KServe Kubeflow MLflow or similar)

• Track record of technical leadership in open source projects including significant contributions and community engagement

• Proven experience architecting and implementing large-scale distributed systems

• Strong background in software engineering best practices including CI/CD testing and monitoring

• Experience mentoring engineers and driving technical decisions in a team environment

The following is considered a plus:

• Experience with Red Hat OpenShift or similar enterprise Kubernetes platforms

• Contributions to ML/AI open source projects particularly in the MLOps space

• Background in implementing ML model monitoring explainability or bias detection systems

• Experience with LLM operations and deployment at scale

• Public speaking experience at technical conferences

• Advanced degree in Computer Science Machine Learning or related field

• Experience working with distributed engineering teams across multiple time zones

• Familiarity with AI governance and responsible AI practices

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Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location experience applicable skills and training external market value and internal pay equity. Annual salary is one component of Red Hats compensation package. This position may also be eligible for bonus commission and/or equity. For positions with Remote-US locations the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the worlds 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. Were 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.

Benefits
Comprehensive medical dental and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability paid family medical leave and paid military leave
Additional benefits including employee stock purchase plan family planning reimbursement tuition reimbursement transportation expense account employee assistance program and more!

Note: These benefits are only applicable to full time permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hats 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 different 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 that compose our global village.

Equal Opportunity Policy (EEO)
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