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Senior Solutions Architect – Cloud & AI Optimization

Location: Remote (Global, PST Overlap)
Company: 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.

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.

• 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

• 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

• Work directly with customer stakeholders

• Lead discovery sessions and optimization reviews

• Present recommendations to technical and business audiences

• Build trusted advisor relationships with customers

• Guide engineering and data teams

• Establish best practices around cloud efficiency

• Mentor team members

• Drive architecture decisions that improve both technical and financial outcomes

• 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.

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

Strong candidates will demonstrate:

• Executive communication

• Stakeholder management

• Problem framing

• Technical consulting

• Data-driven decision making

• Ability to connect technical recommendations to business outcomes

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

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