Financial Operations Engineer (REMOTE)

Overview

Applications for this position will be accepted through 11/13/26.

This position supports a government customer and is remote. The role involves hands-on AWS FinOps (Financial Operations) work, including analyzing, forecasting, and optimizing AWS cloud spend. The engineer will build dashboards, automation, and governance to help teams move quickly on AWS while spending wisely.

Responsibilities

• Analyze and monitor spend by tracking AWS usage and cost using tools including Cost Explorer, Cost and Usage Reports (CUR), Cost Optimization Hub, Budgets, and Trusted Advisor, plus third-party platforms such as CloudHealth, Cloudability, or CloudZero.
• Identify and eliminate waste by finding idle, orphaned, and overprovisioned resources across compute, storage, networking, databases, and managed services, and quantify savings opportunities.
• Manage commitments by recommending and managing Savings Plans, Reserved Instances, and Spot usage, tracking coverage and utilization to maximize discounts without overcommitting.
• Build visibility by creating and maintaining dashboards, executive summaries, and show back/chargeback reporting using tools such as QuickSight, Tableau, or Power BI.
• Forecast and budget by delivering forecasting, budgeting, and variance analysis; partner with Finance on planning cycles and explain month-over-month changes in plain business terms.
• Detect anomalies by configuring cost anomaly detection and alerting, leading rapid investigation and remediation of unexpected spend.
• Drive cost allocation by designing and enforcing tagging standards and account structure (AWS Organizations, Service Control Policies, tag policies) so each dollar maps to a team, product, or customer.
• Automate controls by using Terraform or CloudFormation and scripting (Python, Bash) to automate rightsizing, scheduling, tag compliance, and budget guardrails, and integrate cost checks into CI/CD pipelines.
• Partner with engineering by advising on cost-efficient architecture (including Kubernetes/EKS, containers, and serverless) without compromising performance, reliability, or security.
• Mature the FinOps practice by defining KPIs (such as cost per unit, savings realized, and commitment coverage), conducting regular stakeholder reviews, and delivering training and documentation.

Requirements

• Proven experience with machine learning and statistical modeling.
• Bachelor’s degree (Master’s degree in a quantitative or technical field preferred) in Computer Science, Information Systems, Finance, Engineering, Statistics, or a related field, or equivalent practical experience.
• 5+ years of experience in cloud cost optimization, FinOps, or cloud engineering, with a strong focus on AWS.
• Deep understanding of AWS pricing and billing models and the cost drivers of core services (EC2, S3, RDS, Lambda, EKS, data transfer).
• Hands-on experience with AWS cost tooling (Cost Explorer, CUR, Budgets) and at least one FinOps platform or BI tool.
• Infrastructure-as-code experience with Terraform or CloudFormation, plus scripting for automation (Python, Bash, or PowerShell).
• Proven ability to translate technical usage into financial insight and communicate with both engineers and finance leaders.
• Working knowledge of FinOps principles and the Inform, Optimize, Operate lifecycle.

Preferred Qualifications

• FinOps Certified Practitioner (or higher) and/or AWS certifications such as Cloud Practitioner, Solutions Architect, or DevOps Engineer.
• Familiarity with the FinOps Open Cost and Usage Specification (FOCUS).
• Experience with Kubernetes cost allocation and optimization (EKS, Kubecost) and with serverless and container architectures.
• Experience with multi-account governance at scale and multi-cloud cost management (Azure, GCP).
• SQL and data-analysis skills (for example, Athena over CUR data) and experience building financial or forecasting models.
• Experience building cost awareness into DevOps or CI/CD workflows and working in Agile/Scrum teams.
• Background establishing or maturing a FinOps practice, including executive reporting and unit-economics metrics.
• Analytical and data-driven approach with strong financial modeling instincts.

Compensation & Benefits

Benefits include:

• Medical, dental, and vision insurance
• 401(k) retirement plan
• Paid time off
• Paid parental leave
• Life and disability insurance
• Flexible spending accounts
• Commuter benefits
• Tuition reimbursement

Location

Remote