Red Hat's Hybrid Cloud Management (HCM) team is looking to optimize and automate cloud cost management for Red Hat OpenShift on AWS (ROSA) and Azure Red Hat OpenShift (ARO) environments. The goal is to implement effective cloud cost optimization solutions, streamline financial processes, and leverage AI/ML for enhanced cost management and prediction.
Requirements
- Advanced experience in Kubernetes, OpenShift or other cloud-native technologies
- Familiarity with Graviton-based instances and Karpenter for Kubernetes
- Experience developing applications in Golang or Python
- Experience implementing architecture-level changes for cost optimization
- In-depth understanding of the Kubernetes cost model
- Proficiency in cloud platforms such as AWS, Azure, and GCP
- Expertise in platform engineering tools and methodologies, including DevOps, CI/CD, automation, and monitoring
Responsibilities
- Design and implement cloud tagging, cost allocation, and policy enforcement to ensure visibility and accountability in cloud spending
- Partner with architects and technical leads to implement architectural changes aimed at optimizing cloud costs
- Analyze ROSA, ARO, and additional cloud service architectures to identify areas of overspending and inefficiencies
- Develop automated cloud cost reporting solutions using AI and machine learning for early detection of unexpected expenses and inefficiencies
- Integrate cloud cost management tools with internal systems for streamlined data flow and more informed decision-making
- Continuously optimize cloud infrastructure to reduce costs while maintaining performance
- Define and enforce FinOps best practices for reserved instances, savings plans, auto-scaling, rightsizing, and compute architecture selections, incorporating automation to improve resource allocation and cost efficiency
Other
- Bachelor's degree in Computer Science, IT, or related field
- Extensive experience delivering hosted cloud services and managing cloud financial operations
- Strong analytical skills to identify inefficiencies and provide actionable insights from cloud data
- Solid understanding of cloud billing models and pricing structures across various providers
- Excellent communication and collaboration skills
