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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