Financial Operations Engineer (REMOTE)

Koniag Government Services•Chantilly, VA

5d•Remote

About The Position

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Financial Operations Engineer to support KITS and a government customer. This is a remote, hands-on role focused on analyzing, forecasting, and optimizing AWS cloud spend. The engineer will build dashboards, automation, and governance to help teams use AWS cost-effectively while supporting mission-critical projects. The role involves working with advanced analytics and complex datasets, and collaborating with engineering, finance, leadership, and customers. The position is open for applications through 11/13/26. The company describes Koniag Government Services as an Alaska Native-owned corporation that supports federal government agencies and native communities through enterprise solutions, professional services, and operational management.

Requirements

Proven experience with machine learning and statistical modeling.
Bachelor's degree in Computer Science, Information Systems, Finance, Engineering, Statistics, or a related field, or equivalent practical experience.
At least 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 cost drivers for services such as EC2, S3, RDS, Lambda, EKS, and data transfer.
Hands-on experience with AWS cost tools such as Cost Explorer, Cost and Usage Reports, and Budgets, and with at least one FinOps platform or business intelligence tool.
Experience with Terraform or CloudFormation and scripting for automation using Python, Bash, or PowerShell.
Ability to translate technical usage into financial insights and communicate with engineering and finance leaders.
Working knowledge of FinOps principles and the Inform, Optimize, Operate lifecycle.
Strong understanding of AWS services, pricing models, and cost-management tools.
Analytical and data-driven, with strong financial modeling instincts.
Ability to influence without authority and build trust with engineering and finance stakeholders.
Clear written and verbal communication skills, including the ability to explain the meaning behind financial data.
Ability to balance cost efficiency with reliability, performance, and delivery speed.
Self-directed, curious, and comfortable working in ambiguous situations.

Nice To Haves

Master's degree in a quantitative or technical field.
FinOps Certified Practitioner certification or higher, and/or AWS certification 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, including EKS and Kubecost, and with serverless and container architectures.
Experience with multi-account governance at scale and multi-cloud cost management across Azure or GCP.
SQL and data-analysis skills, such as using Athena over CUR data, and experience building financial or forecasting models.
Experience incorporating 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.

Responsibilities

Analyze and monitor AWS usage and costs using AWS cost-management tools and third-party FinOps platforms.
Identify idle, orphaned, and overprovisioned cloud resources and quantify potential savings.
Recommend and manage Savings Plans, Reserved Instances, and Spot usage, tracking coverage and utilization.
Create and maintain dashboards, executive summaries, and showback or chargeback reporting for engineering, finance, and leadership.
Develop forecasts, budgets, and variance analyses in partnership with Finance, and explain spending changes in business terms.
Configure cost anomaly detection and alerting, and investigate and remediate unexpected spending.
Design and enforce tagging standards and account structures using AWS Organizations, Service Control Policies, and tag policies.
Automate rightsizing, scheduling, tag compliance, and budget guardrails using infrastructure-as-code and scripting; integrate cost checks into CI/CD pipelines.
Advise engineering teams on cost-efficient architectures, including Kubernetes/EKS, containers, and serverless, while considering performance, reliability, and security.
Define FinOps KPIs, conduct stakeholder reviews, and provide training and documentation to promote FinOps best practices.