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.
The FinOps 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 CloudHealth, Cloudability, or CloudZero.
- Find and eliminate waste: Identify idle, orphaned, and overprovisioned 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 overcommitting.
- Build visibility: Create and maintain dashboards, executive summaries, and show back/chargeback reporting (QuickSight, 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 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: Advise on cost-efficient architecture (including Kubernetes/EKS, containers, and serverless) without compromising performance, reliability, or security.
- Mature the FinOps practice: Define KPIs such as cost per unit, savings realized, and commitment coverage; run regular stakeholder reviews; and deliver training and documentation that spread FinOps 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, 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.
- Experience with infrastructure-as-code (Terraform or CloudFormation) and scripting for automation (Python, Bash, or PowerShell).
- Proven ability to translate technical usage into financial insight and to communicate with both engineers and finance leaders.
- Working knowledge of FinOps principles and the Inform, Optimize, Operate lifecycle.
Required Skills and Competencies:- Strong understanding of AWS pricing models, services, and cost management tools.
- 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, with strong financial modeling instincts.
- Influences without authority; builds trust with engineering and finance alike.
- Clear written and verbal communicator who can tell the story behind the numbers.
- Balances cost efficiency with reliability, performance, and speed of delivery.
- Curious, self-directed, and comfortable operating in ambiguity.
