Principal Software Engineer – AI Experiment Tracking

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Design and spearhead the implementation of new features and solutions for MLFlow on Red Hat OpenShift AI.

• Provide technical direction and leadership on critical, high-impact projects, ensuring quality, scalability, and reliability across systems.

• Drive innovation in the MLOps field by engaging with upstream communities, especially Kubeflow and MLFlow.

• Establish and advocate for quality engineering standards across teams, ensuring robust testing practices, CI/CD pipelines, and a quality-first culture at scale.

• Ensure that non-functional requirements, such as security, resiliency, performance, and maintainability, are consistently achieved.

• Write and review complex test strategies, frameworks, and automation methods that elevate quality standards across the organization.

• Contribute to a culture of continuous improvement by sharing insights and technical knowledge with team members.

• Collaborate with product management, other engineering teams, and cross-functional teams to analyze and clarify business requirements.

• Engage effectively with stakeholders and leadership to provide visibility and influence decision-making processes.

• Conduct thoughtful and timely code reviews, exemplifying high standards of quality, maintainability, and design.

• Represent RHOAI in external engagements, including industry events, customer meetings, and open-source communities.

• Mentor, influence, and coach a distributed team of engineers, nurturing future technical leaders and instilling strong engineering discipline.

• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to integrate new AI capabilities into existing workflows and tools.

⛳️ Requirements

• Extensive experience in developing applications using Go, Python, or another programming language.

• Advanced proficiency with AI experiment tracking tools such as MLFlow, Weights and Biases, or ClearML.

• Significant experience with Kubernetes, OpenShift, or other cloud-native technologies.

• Expertise in defining, scaling, and implementing testing strategies, automation frameworks, and CI/CD pipelines across large, distributed systems.

• Ability to quickly learn and guide others in using new tools and technologies, including AI-assisted development tools.

• Experience with source code management tools like Git.

• Proven ability to innovate and a passion for remaining at the cutting edge of technology, including quality engineering best practices.

• Strong system understanding and troubleshooting abilities, focusing on scalability, reliability, and performance.

• Technical leadership skills within a global team environment, including mentoring and coaching engineers at various levels.

• Exceptional written and verbal communication skills.

🏝️ Benefits

• Red Hat recognizes that the best ideas originate from diverse perspectives and experiences.

• Flexible working hours.

• Opportunities for professional development.

• Paid time off.

• Health insurance.

• Retirement plans.