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Financial Operations Engineer; REMOTE

Remote / Online - Candidates ideally in
Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Koniag Government Services
Remote/Work from Home position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AWS
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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

Koniag IT Systems, LLC a Koniag Government Services company, is seeking a Financial Operations Engineer to support KITS and our government customer. The position is remote.

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 and tuition reimbursement.

  • medical
  • dental
  • vision insurance
  • 401(k) retirement plan
  • paid time off
  • paid parental leave
  • life and disability insurance
  • flexible spending accounts
  • commuter benefits
  • tuition reimbursement

Koniag IT Systems, LLC a Koniag Government Services company, is seeking a skilled AWS Fin Ops Engineer to join our team. The ideal candidate will leverage AWS advanced analytics and analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems.

The Fin Ops Engineer will be responsible for analyzing, forecasting, and optimizing AWS cloud spend, developing cost visibility tools, and collaborating with team members and customers to drive cost-effective cloud use. This is a hands-on role. You will build the dashboards, automation, and governance that let teams move fast on AWS while spending wisely.

Key Responsibilities include:
  • Analyze and monitor spend:
    Track AWS usage and cost using Cost Explorer, Cost and Usage Reports (CUR), Cost Optimization Hub, Budgets, and Trusted Advisor, plus third-party platforms such as Cloud Health, Cloudability, or Cloud Zero.
  • Find and eliminate waste:
    Identify idle, orphaned, and over provisioned resources across compute, storage, networking, databases, and managed services, and quantify the savings of each opportunity.
  • Manage commitments:
    Recommend and manage Savings Plans, Reserved Instances, and Spot usage, tracking coverage and utilization to maximize discount without over committing.
  • Build visibility:
    Create and maintain dashboards, executive summaries, and show back/chargeback reporting (Quick Sight, Tableau, Power BI) for engineering, finance, and leadership.
  • Forecast and budget:
    Deliver forecasting, budgeting, and variance analysis, partnering with Finance on planning cycles and explaining month-over-month changes in plain business terms.
  • Detect anomalies:
    Configure cost anomaly detection and alerting and lead rapid investigation and remediation of unexpected spend.
  • Drive cost allocation:
    Design and enforce tagging standards and account structure (AWS Organizations, Service Control Policies, tag policies) so every dollar maps to a team, product, or customer.
  • Automate controls:
    Use Terraform or Cloud Formation and scripting (Python, Bash) to automate rightsizing, scheduling, tag compliance, and budget guardrails, and integrate cost checks into CI/CD pipelines.
  • Partner with engineering:
    Advise on cost- efficient architecture (including Kubernetes/EKS, containers, and serverless) without compromising performance, reliability, or security.
  • Mature the Fin Ops practice:
    Define KPIs such as cost per unit, savings realized, and commitment coverage; run regular stakeholder reviews; and deliver training and documentation that spread Fin Ops best practices.
Education and Experience:
  • 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, Fin Ops, 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 Fin Ops platform or BI tool.
  • Experience with infrastructure-as-code (Terraform or Cloud Formation) and scripting for automation (Python, Bash, or Power Shell).
  • Proven ability to translate technical usage into financial insight and to communicate with both engineers and finance leaders.
  • Working knowledge of Fin Ops principles and the Inform, Optimize, Operate lifecycle.
Required Skills and

Competencies:
  • Strong understanding of AWS pricing models, services, and cost management tools.
  • Fin Ops Certified Practitioner (or higher) and/or AWS…
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