Senior FinOps Engineer

Balyasny Asset Management L.P.; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Balyasny Asset Management L.P. is seeking a Senior FinOps Engineer to lead cost visibility, governance, and optimization across AWS, Azure, and on‑prem infrastructure in New York.

You will build dashboards, forecasting, and governance processes; partner with engineering, platform, architecture, finance, procurement, and operations to drive cost‑aware technology decisions; and push automation that improves efficiency without compromising performance.

Qualifications

• 5+ years of experience in infrastructure engineering, cloud/platform operations, FinOps, or technology cost management.
• Strong understanding of AWS and Azure, along with familiarity with private cloud / on-prem infrastructure and cost drivers.
• Experience with cost management, billing, reporting, and optimization tooling across cloud and enterprise environments.
• Strong Python and SQL skills for automation, analysis, and reporting.
• Experience building dashboards and analyses for engineering, finance, and leadership stakeholders.

Responsibilities

• Build and evolve the firm's technology cost visibility and optimization capabilities across public cloud and on-premises infrastructure.
• Develop and maintain reporting, allocation, forecasting, and governance processes for infrastructure and platform spend.
• Partner with engineering, platform, architecture, finance, procurement, and operations teams to drive cost-aware technology decisions.
• Identify and execute opportunities for rightsizing, modernization, scheduling, commitment optimization, and lifecycle efficiency without compromising resiliency or performance.
• Support showback/chargeback models and improve metadata, tagging, and cost attribution quality across environments.
• Analyze and communicate cost anomalies, trend drivers, and variance explanations to both technical and non-technical stakeholders.
• Provide pre-deployment cost estimates and help teams evaluate architecture and workload placement tradeoffs across cloud and on-prem environments.
• Contribute to the development of automation, APIs, and internal tooling for cost management, reporting, and governance.
• Support cost visibility and governance for AI/ML and other high-growth technology domains, including GPU and data-platform-related spend where applicable.
• Stay current on FinOps industry trends, tooling, and standards, and help mature the firm's practices over time.

Skills

AWS

Azure

Python

SQL

Dashboarding

Cost management

Tools

Tableau

Power BI

Jira Asset/Service Management

Job description

We are looking for a Senior Engineer to join our FinOps organization who will help shape the firm's technology cost visibility, financial governance, and optimization strategy across public cloud, private cloud, and on-premises infrastructure.

As a Senior FinOps Engineer, you will be responsible for implementing and guiding the implementation of infrastructure optimization strategies, policies, and automation. You will be a key member of our FinOps team, helping to ensure efficient and cost-effective infrastructure usage.

As a Senior FinOps Engineer at BAM, you will:

• Build and evolve the firm's technology cost visibility and optimization capabilities across public cloud and on-premises infrastructure.
• Develop and maintain reporting, allocation, forecasting, and governance processes for infrastructure and platform spend.
• Partner with engineering, platform, architecture, finance, procurement, and operations teams to drive cost-aware technology decisions.
• Identify and execute opportunities for rightsizing, modernization, scheduling, commitment optimization, and lifecycle efficiency without compromising resiliency or performance.
• Support showback/chargeback models and improve metadata, tagging, and cost attribution quality across environments.
• Analyze and communicate cost anomalies, trend drivers, and variance explanations to both technical and non-technical stakeholders.
• Provide pre-deployment cost estimates and help teams evaluate architecture and workload placement tradeoffs across cloud and on-prem environments.
• Contribute to the development of automation, APIs, and internal tooling for cost management, reporting, and governance.
• Support cost visibility and governance for AI/ML and other high-growth technology domains, including GPU and data-platform-related spend where applicable.
• Stay current on FinOps industry trends, tooling, and standards, and help mature the firm's practices over time.

Core Tech Stack:

• Public cloud: AWS, Azure
• Hybrid / on-prem infrastructure: VMware, Nutanix, storage and virtualization platforms
• Cost and financial management: Cloudability, Apptio, Flexera, native cloud cost tools, or similar
• Analytics and reporting: SQL, Python, Power BI, Tableau, Superset
• IT asset / service management: Jira Asset/Service Management, ServiceNow, or similar
• Automation and integration: REST APIs, scripting, data pipelines, policy automation
• AI / data platforms: familiarity with cost drivers for GPU, model inference, data platforms, and related services

To be considered a good cultural fit, you must be:

• Eager to grow in the field of FinOps.
• Driven towards financial efficiency and optimization.
• A very strong and effective communicator.
• Capable of multitasking and excelling in a fast-paced trading environment.
• A problem solver; adept at developing quick and sound analytical solutions to complex issues.

To be considered a good technical fit, you must have:

• 5+ years of experience in infrastructure engineering, cloud/platform operations, FinOps, or technology cost management.
• Strong understanding of AWS and Azure, along with familiarity with private cloud / on-premises infrastructure and associated cost drivers.
• Experience with cost management, billing, reporting, and optimization tooling across cloud and enterprise environments.
• Strong Python and SQL skills for automation, analysis, and reporting.
• Experience building dashboards and analyses for engineering, finance, and leadership stakeholders.
• Experience with budgeting, forecasting, variance analysis, allocation, and showback/chargeback concepts.
• Ability to assess and communicate cost, performance, and resiliency tradeoffs in architecture and workload placement decisions.
• Strong written and verbal communication skills, with the ability to translate between technical and financial audiences.
• FinOps Foundation certification(s) or equivalent practical experience
• AWS and/or Azure certifications
• Experience with hybrid infrastructure cost transparency, including private cloud, virtualization, storage, networking, and hardware lifecycle planning
• Experience with reservation / commitment strategy, enterprise agreements, or vendor financial analysis
• Familiarity with FOCUS or other standardized cost and usage data models
• Experience with AI/ML platform cost management or using AI to improve FinOps workflows