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What you will do:
Contribute to the architecture, design, development, and testing of new UI features and solutions for RHOAI
Innovate in the MLOps domain by participating in upstream communities
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
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members
Collaborate with product management, user experience design, documentation, and other engineering and cross-functional teams to analyze and clarify business requirements
Utilize a pattern library and wireframes from user experience design counterparts to design and execute an ideal UI implementation for end users
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts
Give thoughtful and prompt code reviews
What you will bring:
Experience developing applications in React, Typescript, and JavaScript or other frontend languages
Experience with modern CSS frameworks and best practices
Experience with testing frameworks such as Cypress, Playwright, Jest, or React Testing Library
Experience leading feature development, breaking down wireframes into components, and putting together a plan for implementation
Familiarity with back-end technologies like Node.js and Python
Familiarity with containers and container orchestration technologies like Podman, Docker, Kubernetes, or Openshift
Ability to quickly learn and use new tools and technologies
Experience with source code management tools such as Git
Good system understanding and troubleshooting capabilities
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 Kubernetes, OpenShift or other cloud-native technologies
Knowledge or experience working with MLOps and AI technologies
The salary range for this position is $111,260.00 - $183,580.00. Actual offer will be based on your qualifications.
Pay Transparency
● 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
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