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What you will do
Participate in architect and lead implementation tasks of the new features and solutions for OpenShift AI
Innovate in the MLOps domain by contributing meaningfully to upstream communities
Develop integrations between various portions of the OpenShift AI stack
Participate in technical vision and leadership on critical and high impact projects
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
Use CI/CD best practices to deliver solutions as productization efforts into OpenShift AI
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
Help in mentoring, influencing, and coaching a distributed team of engineers
What you will bring
Experience developing applications in Go
Experience developing applications in Python
Experience developing applications in Kubernetes, OpenShift, or other cloud-native technologies
Ability to quickly learn and guide others on using new tools and technologies
Proven ability to innovate and a passion for staying at the forefront of technology.
Experience with distributed systems (especially those that run on Kubernetes) and troubleshooting them
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Experience providing technical leadership in a global team and delivering on a 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 communities work
Experience with development for public cloud services (AWS, GCE, Azure)
Experience working with or deploying MLOps platforms
Experience with AI/ML Model training and tuning
Experience writing Kubernetes/OpenShift controllers and operators
Experience writing DSLs in Python or other languages
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