About the role

Senior Software Engineer developing AI experiment tracking solutions for Red Hat OpenShift AI team. Collaborating on cloud-native technologies and enhancing MLOps capabilities.

Responsibilities

Contribute to the architecture, design, development, and testing of new features and solutions for MLFlow on Red Hat OpenShift AI
Innovate in the MLOps domain by participating in upstream communities, particularly Kubeflow and MLFlow
Ensure non-functional requirements including security, resiliency, performance, and maintainability are met
Lead by example in writing and maintaining comprehensive unit, integration, and end-to-end tests, and help teammates adopt strong testing and CI/CD practices
Use CI/CD best practices to deliver solutions efficiently 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 with stakeholders and team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews that uphold quality and maintainability standards
Represent RHOAI in external engagements including industry events, customer meetings, and open source communities
Mentor and guide other engineers, including coaching them on quality ownership, testing strategies, and development best practices
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

Minimum of 4 years of experience developing applications in Go or Python, or another programming language
Strong experience with AI experiment tracking tools such as MLFlow, Weights and Biases, or ClearML
Strong experience in Kubernetes, OpenShift, or other cloud-native technologies
Proven ability to design and implement robust automated testing strategies, and to guide others in adopting strong testing, CI/CD, and quality practices
Ability to quickly learn and guide others on using new tools and technologies, including AI-assisted development tools
Experience with source code management tools such as Git
Innovation skills and a passion for technology, with the ability to introduce new ideas and improvements to the team
Strong system understanding and troubleshooting capabilities
Familiarity with data science workflows and machine learning pipelines
Excellent written and verbal communication skills

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!