Senior Solutions Architect – Cloud & AI Optimization
Location: Remote (Global, PST Overlap)
Company: Virtasant
About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries.
We help organizations modernize cloud platforms, improve engineering efficiency, and optimize cloud spend through architecture, automation, and FinOps best practices.
Our teams work directly with enterprise customers to identify inefficiencies, drive modernization efforts, and deliver measurable business outcomes.
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