Senior Azure FinOps & Cloud Optimization Consultant Microsoft AI

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets.

We are seeking an experienced Senior Azure Fin Ops & Cloud Optimization Consultant to drive cost optimization, governance, automation, and financial accountability across a large Microsoft Azure estate.

The role will focus on identifying, implementing, and measuring sustainable cost optimization opportunities across Azure Compute, Storage, Networking, Databases, Microsoft Fabric, Azure AI/OpenAI, analytics platforms, and other PaaS services
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This is a hands-on consulting role working closely with Microsoft, Enterprise / LOB Cloud/Infrastructure teams, application owners, engineering teams, Finance, and internal stakeholders to establish practical Fin Ops processes that can be operated by internal teams.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Piscataway, NJ/ King of Prussia, PA is $120K-$130K /year & benefits (see below).

Responsibilities:

• Design and implement automation to reduce unnecessary Azure consumption, including start/stop schedules, scale-up/scale-down rules, cleanup of unused resources, budget alerts, anomaly alerts, and optimization reporting.
• Automation should use appropriate technologies such as Azure Automation, Functions, Logic Apps, Power Shell, Azure CLI, Azure Resource Graph, Azure Policy, Terraform/Bicep, and APIs, with approvals, exclusions, logging, and operational guardrails.
• Microsoft Fabric & AI Optimization
• Partner with Data, Analytics, and AI teams to manage cost and capacity for Microsoft Fabric and Azure AI/OpenAI services, including capacity sizing, scheduling, utilization monitoring, token/model usage analysis, quotas, budgets, and cost-efficient architecture recommendations.
• Microsoft Partnership & Best Practices
• Work directly with Microsoft Azure and Fin Ops specialists to review the Azure estate against best practices, validate recommendations, evaluate new pricing/cost-management capabilities, and track agreed actions through to measurable implementation outcomes.
• Fin Ops Platform Implementation

Requirements:

• 7+ years of Cloud/Infrastructure experience with strong Microsoft Azure expertise.
• 3+ years of hands-on Fin Ops / Cloud Cost Optimization experience.
• Strong understanding of Azure Cost Management, pricing, consumption models, and large multi-subscription environments.
• Strong knowledge of Azure Compute, Storage, Networking, Databases, PaaS services, Microsoft Fabric, and Azure AI/OpenAI cost management.
• Experience with automated scaling, resource scheduling, Reservations, Savings Plans, Azure Hybrid Benefit, and commitment optimization.
• Experience implementing or operating a Fin Ops / Cloud Cost Management platform.
• Ability to work effectively with Microsoft, engineering teams, Finance,…