Senior Solutions Architect - Cloud & AI Optimization
J
JobgetherCloud Computing
Based in United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLData AnalysisKubernetes
Requirements
- Demonstrated professional experience in FinOps and cloud cost optimization.
- Strong hands-on AWS experience, including familiarity with AWS-native analytics services such as Athena.
- Strong SQL and Python skills, with experience applying them to large-scale data analysis, automation, reporting pipelines, and data-transformation workflows.
- Experience with cloud cost and usage reporting, data modeling, cost governance, and financial visibility initiatives.
- Practical knowledge of cloud optimization techniques, including rightsizing, Savings Plans, Reserved Instances, cost allocation, showback/chargeback, and cloud economics.
- Proven track record of driving measurable cloud cost reductions and connecting technical improvements to financial outcomes.
- Customer-facing consulting experience, with the ability to lead discovery, advise senior stakeholders, and communicate technical recommendations clearly.
- Strong executive communication, stakeholder management, problem-framing, and data-driven decision-making skills.
- Familiarity with medallion architecture concepts and large-scale data environments.
- Experience with Kubernetes, cloud-native platforms, or containerized workloads is preferred.
- Experience using AI tools in engineering or analytics workflows, including familiarity with LLMs and AI-assisted development, is a plus.
Responsibilities
- Lead cloud cost-optimization and FinOps initiatives across large, complex enterprise environments, identifying waste, inefficiencies, and architectural opportunities.
- Analyze cloud usage, cost, and spending patterns to uncover optimization opportunities and prioritize actions based on business impact.
- Develop and implement sustainable cloud governance frameworks, including cost allocation, showback, chargeback, rightsizing, Savings Plans, and Reserved Instance strategies.
- Partner with engineering teams to translate optimization recommendations into practical technical changes and measurable improvements.
- Design and optimize reporting, analytics, and decision-support solutions that provide customers with greater visibility into cloud financial performance.
- Work with large-scale cloud cost and usage datasets and build insights that support data-driven optimization decisions.
- Lead customer discovery sessions, optimization reviews, technical discussions, and presentations for both technical and business stakeholders.
- Drive architecture decisions that improve technical performance, operational efficiency, and financial outcomes.
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