FinOps Engineer

FinOps Weekly; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Thales CSP in Austin, TX is seeking a FinOps Engineer to lead cloud financial management across AWS/Azure/GCP. You will drive cost visibility, budgeting accuracy, and governance in multi-cloud environments.

Collaborating with finance, engineering, and operations, you will design IaC solutions, automate cost controls, build dashboards, and promote cost-aware engineering decisions to maximize cloud investments.

Qualifications

• 3+ years of FinOps with cloud cost optimization.
• Experience with AWS, Azure or GCP environments.
• Experience budgeting, forecasting, and variance analysis.

Responsibilities

• Manage cloud spend across AWS/Azure/GCP with governance.
• Develop cost forecasts and variance analyses.
• Build dashboards for cloud spend and utilization.
• Automate cost controls and tagging enforcement.

Skills

Strong analytical and financial

Translate technical cloud usage

Communication & stakeholder mgmt

Problem solving & detail

Education

Bachelor’s degree in engineering/CS/IS

Tools

CloudFormation

Terraform

Python

Bash

Git

CI/CD tooling

Power BI

Job description

Thales# FinOps Engineer## Job DescriptionLocation: Austin, United States of AmericaThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.Austin, TX – Hybrid (3 days a week)Position Summary Thales CSP is seeking a highly skilled FinOps Engineer to lead and optimize cloud financial management across the organization.This role bridges Finance, Engineering, and Operations to ensure cloud spending is transparent, predictable, and aligned with business value. The FinOps Engineer will drive cost visibility, budgeting accuracy, forecasting reliability, optimization initiatives, and governance across multi-cloud environments, while enabling engineering teams to make cost-efficient architectural decisions.Key responsibilities include analyzing cloud infrastructure to identify cost-saving opportunities, implementing optimization strategies, improving financial accountability, and enhancing forecasting accuracy. The FinOps Engineer will collaborate closely with Finance, Engineering, and Operations teams to foster a culture of cost-conscious cloud usage and maximize the value derived from cloud investments.Essential Functions Key areas of responsibility Cloud cost management and governance Monitor, analyze, and optimize cloud spend across AWS/Azure/GCP environments, identifying cost-saving opportunities such as rightsizing, Reserved Instances/Savings Plans management, storage lifecycle optimization, and idle resource remediation. Design and implement automated cost control mechanisms and guardrails to ensure financial discipline without compromising performance or security. Identify and assess financial risks related to cloud consumption, implementing proactive mitigation strategies to protect budget and forecast accuracy. Establish and maintain governance frameworks to ensure accountability for cloud spend, including tagging standards, cost allocation policies, and tracking of key financial metrics.Budgeting & Forecasting Develop cloud cost forecasts and variance analysis Support financial planning cycles (Budget / Forecast / Actuals) Provide cost allocation and chargeback/showback modelsReporting & Financial Transparency Build and maintain dashboards for cloud spend and utilization Partner with Finance to reconcile cloud billing and ensure accuracy Delivering insights to leadership and stakeholders on financial health.Cross-Functional Collaboration Partner with engineering, finance, and operations teams to implement FinOps best practices, promote cost awareness, and collaboratively address cost-related challenges. Partner with Finance, Procurement, and Leadership on cost strategyVendor Management Oversee relationships with cloud vendors, optimizing pricing agreements, discounts, and usage patterns.FinOps Engineering development & Automation Design and implement Infrastructure-as-Code (IaC) solutions using tools such as CloudFormation or Terraform. Develop automation scripts using tools such as Python, Bash, or cloud-native CLI automation. Build internal cost optimization tooling, including: Automated cleanup scripts (idle resources, unattached volumes, orphaned IPs, etc.) Rightsizing recommendation engines Savings Plan / RI tracking automation Cost anomaly detection workflows Integrate cost governance into CI/CD pipelines (FinOps-as-Code approach) Implement tagging enforcement policies and automated compliance checks Create reusable modules/templates to embed cost efficiency into infrastructure deployment Develop APIs or data pipelines to extract, transform, and analyze billing data Leverage serverless architectures (Lambda/Functions) for cost automation tasks Contribute to internal FinOps platforms, dashboards, and data modelsKey Relationships Work with financial controllers for forecasting, budgeting and cost allocation to various departments Engage with procurement team for negotiations with vendors with regards to pricing, licensing and other terms. Work collaboratively with administrators raising the purchase requisitions. With guidance from the Cloud Operations and Engineering Director, collaborate with engineering managers to evangelize, implement cost saving development practices and realize cost savings Leadership and Stakeholders: Provides insights on financial health, cloud spend, and utilization trends through dashboards and reports, supporting data-driven decision-making and strategic cost management. Maintain close relationships with Technical Account Managers for the various Cloud Services (e.g. AWS, Google Cloud, Datadog) in order to learn, leverage and implement the tools offered natively by these vendors for optimizing cloud consumption costs. Interact with the other Thales transversal and group unit FinOps teams to share and collaborate on FinOps best practices.Skills Minimum Requirements Strong analytical and financial modeling skills Ability to translate technical cloud usage into financial impact Excellent communication and stakeholder management skills Problem-solving mindset with attention to detail ability to manage multiple tasks in fast-paced environments and meet tight deadlines.Experience 3+ years of experience in FinOps with a proven track record in managing cloud costs and financial optimization. Experience managing cloud spend in AWS, Azure, or GCP environments Proven experience in budgeting, forecasting, and variance analysisEducation Bachelor’s degree in engineering, Computer Science, Information Systems, or related fieldTechnical / Specialized Knowledge Hands-on experience with Infrastructure-as-Code (IaC): CloudFormation (templating, parameterization, etc) Terraform (modules, state management, workspaces, remote backends) Hands-on experience in scripting and automation: Python (data processing, API integration, automation frameworks) Bash / Shell scripting Experience building automation pipelines and cron/serverless jobs Experience integrating FinOps controls into CI/CD pipelines Git-based workflows Pipeline automation (GitHub Actions, GitLab CI, Azure DevOps, etc.) Policy-as-Code (e.g., Open Policy Agent, SCPs, Azure Policies) Strong understanding of cloud billing mechanics: AWS Cost & Usage Reports (CUR) Savings Plans / Reserved Instances lifecycle management Commitment planning and coverage optimization Enterprise Discount Programs / Private Pricing Agreements Ability to build and maintain data pipelines: Extracting and transforming billing datasets SQL (advanced querying, aggregations, performance tuning) Experience with data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience with cloud-native automation services: AWS Lambda / Azure Functions / Cloud Functions Event-driven architectures CloudWatch / Azure Monitor / Logging systems Knowledge of cloud governance and security controls: IAM best practices Service Control Policies (SCPs) Tagging enforcement mechanisms Cost anomaly detection frameworks Strong data visualization and reporting capabilities: Power BI, Tableau, Looker (data modeling preferred) Advanced Excel / financial modeling Solid understanding of cloud architecture principles: Compute, storage, networking, and containerization Kubernetes cost considerations (EKS/AKS/GKE) Multi-account / multi-subscription environments Familiarity with FinOps tooling: Native cloud cost tools Apptio Cloudability, CloudHealth,