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Red hat Senior Software Engineer 
Ireland 
98259282

01.12.2024

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