Share
Job Summary:
You will be an individual contributor who collaborates closely with other Engineers, Architects, Security Practitioners, Product Managers & Owners, and internal customers. You will need to have a passion for working in open source communities and for developing reference architectures that integrate Red Hat, open source, and partner technologies into a cohesive platform.
What you will do:
Identify, investigate, and evaluate emerging trends and standards: Articulate and share a well informed opinions and Point of View (PoV) analysis documents to influence internal alignment related to emerging trends and major changes to AI platform architectures; Develop and deliver operational proof of concept implementations; Provide presentations to internal and external customers as well as at conferences and via blogs
As an example, these emerging trends might take the form of new Gen AI capabilities impacting:AI Stack (e.g. Llama Stack, Hugging Face, Pytorch, vLLM, LLMs, RAG, Agentic, MCP, A2A), Container platforms (Kubernetes/OpenShift), Toolchain - Libraries for leveraging accelerators (e.g. Triton), Compilers, packaging and delivery (including continuous delivery/managed services) and the developer experience, Specific infrastructure or app-level services and their higher-level control planes
Incrementally drive POV alignment by: working with Product Management and Product Engineering to iterate on alignment with the POV, participating in specific upstream projects and influencing their outcomes, meeting with Partners, gathering feedback, identify actions that you/OCTO should own and help drive to closure
Contribute to architecture/design of platforms and provide input that elevates the platform and user experience
Lead the development of new features for the platforms (e.g.) Red Hat OpenShift AI using CI/CD best practices
Participate and lead engagements with open source communities to influence and advance emerging technologies projects
What you will bring:
5+ years of experience in MLOps, DevOps, Automation and modern Software Deployment practices
Strong experience with Git, Github Actions including self-hosted runners, Terraform, Jenkins, and common technologies for automation and monitoring
Experience developing and building applications in Kubernetes
Experience with Agile methodology
Experience with Cloud Computing using at least one of the following Cloud infrastructures: AWS, GCP, Azure, or IBM Cloud
Hands-on programming experience such as Go language, Python, Rust
Advanced scripting abilities in shell, Bash, Python, TypeScript or JavaScript etc.
Experience developing and debugging in YAML
Experience with AI and Machine Learning platforms such as Kubeflow, Tensorflow and PyTorch
Solid troubleshooting skills
Ability to interact comfortably with the other members of a large, geographically dispersed team
Experience maintaining an infrastructure and ensuring stability while adding new features
Comfortable using Gen AI as a productivity enhancement
While a Bachelor’s degree or higher in computer science, mathematics, or a related discipline is valued, we prioritize technical prowess, initiative, problem solving, and practical experience
The salary range for this position is $189,600.00 - $312,730.00. 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
These jobs might be a good fit