Transform your life and continue advancing your professional career at Mapfre Tech! You will join an international environment where you can innovate by participating in global projects focused on the latest technological trends — all within a flexible and agile setting surrounded by outstanding professionals from around the world… Are you ready? At Mapfre, we seek a **Principal Engineer** to lead the evolution of the FinOps domain and prioritize AI cost control as the first strategic focus. Your primary responsibility will be to act as Owner of the FinOps Platform, evolving it not only to cover cloud cost control but also to address new requirements for visibility, governance, optimization, and economic control arising from LLM token consumption and AI services. On a day-to-day basis, you will serve as the functional and technical owner of our platform: defining standards, models, control mechanisms, decision criteria, and a clear roadmap for platform evolution — incorporating capabilities for quota management, cloud cost control, alerts, consumption traceability, product/team-level visibility, and optimization of AI- and LLM-related spending. You will collaborate cross-functionally with Cloud, Architecture, Data, Security, Finance, and Engineering Platform teams. **Where are we located?** ------------------- This position will be based at our Las Tablas offices in Madrid. **What will be your responsibilities?** -------------------------------- Make our platform, within the FinOps framework, a strategic capability for the Group: enabling cloud and AI cost planning, forecasting, and optimization — especially costs associated with LLM token consumption; delivering clear, actionable, and traceable financial visibility across organizational levels; and enabling corporate mechanisms for quotas, alerts, budgetary control, optimization, and economic governance. Assume ownership of the FinOps Platform, defining its vision, roadmap, priorities, and evolution criteria. Lead AI cost control at MAPFRE, integrating PLUTO360 with specific capabilities to measure, govern, and optimize LLM token consumption and AI services. Evolve existing quota management, cloud cost control, and alerting mechanisms to cover AI, GenAI, and intensive LLM model usage scenarios. Define visibility, reporting, and traceability models by product, team, application, provider, use case, and organizational unit. Define and evolve cloud and AI budgeting, forecasting, and cost optimization models. Design and govern chargeback/showback models supporting multiple allocation criteria for cloud, AI, and shared services. Lead the evolution of the FinOps Planner, Tracker, and Optimizer modules, incorporating LLM-specific capabilities. Define cost calculators, scenario simulators, and optimization mechanisms for cloud, AI, and token consumption. Design executive dashboards with visibility by entity, country, product, provider, and use case. Align the FinOps model with the TBM (CAPEX / OPEX) framework for DataCenters and with emerging AI economic governance requirements. Define functional requirements, Definition of Done (DoD), and acceptance criteria for PLUTO360 enhancements. Ensure FinOps capabilities — including AI cost control — are consumable via API. Define KPIs and metrics for FinOps efficiency, optimization, adoption, and maturity — including specific indicators for LLM cost, consumption, and efficiency. **What expertise do we require?** ------------------------------- Expertise in FinOps practices with solid data knowledge * Strong understanding of enterprise-level FinOps practices: * Experience in cloud economics (AWS, Azure, GCP, and OCI). * Experience with on-premise environments and OpenShift. * Design of cost models, optimization, and economic governance. * Experience with internal platforms and engineering products. * Data modeling and executive reporting. * Experience with FinOps allocation models. Infrastructure as Code (IaC): * Terraform and GitHub (mandatory). Ansible knowledge preferred. * Python proficiency; AWS Step Functions and GitHub Actions knowledge is a plus. Architecture and data models: * Experience building Data models via ETLs. * Knowledge of AWS services: GLUE, Lambdas, Athena, DynamoDB. * Cost governance for Mongo Atlas DB and SaaS solutions. * Oracle and SQL knowledge is desirable. Cloud security: * Identity & Access Management (Entra ID / Azure AD, RBAC, privileges, delegation). * Integration with corporate security services within the Azure ecosystem. FinOps governance: * Definition of FinOps standards, policies, and models. * Observability, logging, monitoring, and alerting in PLUTO360. * Technical documentation, runbooks, and operational procedures. * Platform definition in complex enterprise environments — resilient and regional architecture. * Multi-region design, resilience, and disaster recovery. * Ability to evaluate architectural decisions. **What experience is required?** ---------------------------------- Experience leading FinOps initiatives in complex environments. Cross-functional collaboration with Technology, Finance, and Business units. Experience with enterprise platforms or internal products. **Which soft skills are beneficial for this role?** -------------------------------------------------- Technical leadership and decision-making ability. Platform vision and orientation toward standardization. Clear, structured, and internally customer-oriented communication. Ability to influence multiple stakeholders and align teams. Quality mindset, continuous improvement, and scalability orientation. Analytical ability and capacity to solve complex problems. Autonomy, proactivity, and execution focus. Mentoring and coaching capability for technical profiles. **Other valuable factors** ----------------------------- Relevant FinOps certifications (e.g., Practitioner) Cloud certifications (AWS, Azure) Experience in regulated environments with high compliance requirements. Knowledge of FinOps practices applied to cloud platforms. Experience integrating with corporate observability, security, backup, and automation tools. Experience designing and evolving FinOps platforms. **What do we offer?** ---------------------- * Flexible working hours and telecommuting (3 days in the office, 2 days remote) * A flexible compensation program offering meal subsidies, childcare vouchers, private health insurance, life insurance, employee discounts, etc. If you live in Madrid city, a dedicated bus route to the office is available. * Access to an attractive pension plan. * Summer reduced working hours. * You will drive your own learning journey, with access to thousands of resources to further develop your technical expertise. Additionally, you’ll receive €1,100 annually to expand your expertise even further. * 25 vacation days per year (pro-rated from your start date). * At Mapfre, we do not work on December 24, December 31, or January 5. * 28 annual personal leave hours + 3 recoverable days during Easter week. * Opportunity to participate in volunteering projects. * Free paddle tennis courts and gym. * An incredible place to work! We rank among the top 50 best companies to work for in Spain according to Forbes magazine. **We are diverse — and uniquely so!** --------------------------- All selection processes conducted at MAPFRE adhere strictly to the principle of EQUAL OPPORTUNITY and NON-DISCRIMINATION. Candidates’ aptitudes and personal and professional merit are the sole criteria for final selection. We foster inclusive workplaces that value diversity and prohibit discrimination based on gender, race, ideology, religion, sexual orientation, age, nationality, disability, or any other personal, physical, or social condition. You may review our Diversity and Equal Opportunity Policy: politica\-de\-diversidad\-e\-igualdad\-de\-oportunidades.pdf (mapfre.com) *By applying to this job posting, you acknowledge and consent to MAPFRE’s processing of the personal data you have voluntarily provided through this platform. If you provide personal data of third parties other than yourself, you guarantee that you have obtained and hold their prior consent for sharing their data and have informed them accordingly.* *As the data controller, MAPFRE will process your data solely to manage your participation in recruitment processes. This may involve profiling and automated decision-making. To manage your participation across various recruitment processes within the MAPFRE Group, its subsidiaries, affiliates, and Fundación MAPFRE, your data may be shared with these entities and subject to international transfers.* *Additional information on data protection at MAPFRE is available at* *https://www.mapfre.com/corporativo\-es/clausulas/RRHHseleccion.pdf* *where we indicate how to exercise your rights of access, rectification, erasure, restriction, objection, and data portability.*
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
