Senior Solutions Architect – Cloud & AI Optimization

Senior Solutions Architect – Cloud & AI Optimization

The Role We are looking for a Senior Solutions Architect with deep FinOps and cloud optimization expertise. This role sits within one of Virtasant's highest-impact customer engagements and requires someone who can confidently work with senior stakeholders, analyze complex cloud environments, and lead initiatives that improve efficiency and reduce spend. This is not a generic cloud architecture role. The strongest candidates have real experience leading cloud cost optimization programs, understand the technical drivers behind cloud spend, and can connect architecture decisions to financial outcomes.

What You'll Do

• FinOps & Cloud Optimization

• Lead cloud cost optimization initiatives across large enterprise environments

• Identify waste, inefficiencies, and architectural opportunities for improvement

• Design governance frameworks that sustain long-term cloud efficiency

• Analyze cloud usage patterns and spending trends

• Partner with engineering teams to implement optimization recommendations

• Data & Analytics

• Work with cloud cost and usage data at scale

• Design and optimize reporting, analytics, and decision-support systems

• Build insights that drive cost optimization decisions

• Collaborate with customers on cloud financial visibility initiatives

• Client Advisory

• Work directly with customer stakeholders

• Lead discovery sessions and optimization reviews

• Present recommendations to technical and business audiences

• Build trusted advisor relationships with customers

• Technical Leadership

• Guide engineering and data teams

• Establish best practices around cloud efficiency

• Mentor team members

• Drive architecture decisions that improve both technical and financial outcomes

• What We're Looking For

• Non-Negotiables

• Demonstrated FinOps experience

• Proven cloud cost optimization experience

• Strong AWS experience

• Strong SQL skills

• Strong Python skills

• Customer-facing consulting experience

• Ability to communicate technical concepts clearly

• Experience driving measurable cost reduction initiatives

• Important: Candidates who have cloud experience but cannot demonstrate meaningful FinOps experience will not be considered.

• Technical Experience

• FinOps

• Cloud cost optimization

• Cost governance

• Cost allocation

• Showback and chargeback models

• Savings Plans and Reserved Instances

• Rightsizing

• Cloud economics

• AWS & Data

• AWS-native analytics services

• Athena

• Cost and usage reporting

• Data modeling

• Medallion architecture concepts

• Large-scale data analysis

• Software & Automation

• Python

• SQL

• Automation

• Reporting pipelines

• Data transformation workflows

• Platform & Infrastructure (Preferred)

• Kubernetes

• Cloud-native platforms

• Containerized workloads

• AI (Nice to Have)

• Experience using AI tools in engineering or analytics workflows

• Familiarity with LLMs and AI-assisted development

• Consulting & Business Skills Strong candidates will demonstrate:

• Executive communication

• Stakeholder management

• Problem framing

• Technical consulting

• Data-driven decision making

• Ability to connect technical recommendations to business outcomes

• How We Work The people who succeed in this role are:

• Analytical and detail-oriented

• Comfortable working directly with customers

• Strong communicators

• Curious problem solvers

• Hands-on and technically credible

• Focused on measurable outcomes

• Why Virtasant At Virtasant, you will:

• Work on high-impact cloud optimization programs

• Partner with demanding enterprise customers

• Influence architecture and cost optimization decisions

• Work alongside experienced architects, engineers, and FinOps practitioners

• Help customers save millions through better engineering and cloud decisions

• Our team

• Optimization

• Locations

• Canada, USA, Latin America

• Remote status

• Fully Remote

• Work directly with enterprise clients to solve complex FinOps, cloud efficiency, and data-driven optimization challenges at scale.