FinOps Engineer

Job Title:
Fin Ops Engineer

Location:
Houston, TX

Required Experience: 8-12 Years

Max rate: $80/hr on C2C

We are primarily looking for a resource with strong Fin Ops expertise, particularly in Data Platform Fin Ops, cloud financial management, cost optimization, and billing analytics. The ideal candidate should have deep experience supporting large-scale data platforms on GCP and AWS, with a strong understanding of the cost drivers and optimization opportunities associated with modern data services.

Key Requirements:

• Deep hands-on experience with GCP and AWS cloud platforms.
• Strong understanding of GCP Data Platform services, including Big Query, Cloud Composer, Dataproc, Cloud Storage, and related analytics services from a Fin Ops and cost management perspective. Development experience is not required, but the candidate should understand service architecture, consumption patterns, and cost drivers.
• Strong knowledge of AWS CUR, CUDOS dashboards, GCP Billing Console, Cloud Billing exports, and cloud cost management/reporting tools.
• Expertise in analyzing cloud billing, usage, and consumption data to provide actionable insights and support informed business decisions.
• Proven experience identifying and implementing cloud optimization opportunities in AWS and GCP, including commitment management, rightsizing, storage optimization, workload efficiency, and cost allocation strategies.
• Strong financial acumen with the ability to connect technical cloud consumption to business and financial outcomes.
• Ability to develop forecasts, budgets, unit economics, showback/chargeback models, and executive-level Fin Ops reporting.
• Excellent communication and stakeholder management skills, with the ability to clearly articulate actuals, forecasts, optimization recommendations, risks, and business impacts.
• Proven ability to act as a Fin Ops leader, driving governance, accountability, cost transparency, and optimization programs across engineering, finance, and business teams.
• Experience working closely with Data Engineering, Analytics, and Platform teams to influence architectural decisions that balance performance, scalability, and cost efficiency.

Must be capable of independently leading Fin Ops reviews, stakeholder discussions, governance forums, and executive calls without requiring support or supervision. Should be confident presenting financials, usage trends, optimization recommendations, risks, forecasts, and business outcomes to technical, finance, and leadership audiences

"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations.

Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_A"