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Jobs in San Luis Potosi, Messico

FBS FinOps Cloud Engineer

Capgemini

Ciudad de México
Remoto
MXN 1.189.000 - 1.556.000
30+ giorni fa
Voglio ricevere notifiche sulle ultime opportunità lavorative in località San Luis Potosi.

Account Executive

Fireblocks

Messico
Remoto
MXN 70.000 - 90.000
30+ giorni fa

Full-Cycle Sales Representative (All Mexico)

OperationsArmy

Mexicali
Remoto
MXN 200.000 - 400.000
30+ giorni fa

ABA Intake Coordinator (Mexico | Remote)

OperationsArmy

Mérida
Remoto
MXN 25.000 - 35.000
30+ giorni fa

Lead Fullstack Engineer (.NET/Angular) – GovTech Solutions (Mexico)

Truelogic

Messico
Remoto
MXN 400.000 - 600.000
30+ giorni fa
discover more jobs illustrationScopri più opportunità qui che da qualsiasi altra parte. Trova subito più lavori

CRM Specialist (Klaviyo)

Oowlish

Messico
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Proposals Management Administrator, Pre-Sales

Hexagon AB

Ciudad de México
Remoto
MXN 732.000 - 1.099.000
30+ giorni fa

Senior Pega Architect(Pega SSA)

Rules Cube

Messico
Remoto
MXN 80.000 - 100.000
30+ giorni fa
HeadhuntersCollegati con i cacciatori di teste per candidarti a posizioni simili

ABA Intake Specialist (Mexico | Remote)

OperationsArmy

Ciudad Juárez
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Web Designer (Mexico - Remote)

Wing Assistant

Ciudad de México
Remoto
MXN 200.000 - 400.000
30+ giorni fa

B2B Call & Appointment Specialist (English/Spanish) - LATAM

Valatam

Ciudad de México
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Senior Software Engineer (LATAM)

Sezzle

Ciudad de México
Remoto
MXN 600.000 - 800.000
30+ giorni fa

Senior Software Engineer LATAM — Remote, High Impact

Sezzle

Ciudad de México
Remoto
MXN 600.000 - 800.000
30+ giorni fa

Sr. Software Engineer, Product Engineering (LATAM)

Finalis

Ciudad de México
Remoto
MXN 1.283.000 - 2.201.000
30+ giorni fa

Cloud Engineer (AWS)

NTT DATA, Inc.

Ciudad de México
Remoto
MXN 1.100.000 - 1.467.000
30+ giorni fa

Amazon Prime Exclusive Discount Support - Project Based

Lago

Messico
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Field Service Engineer, 4-Stroke

Wärtsilä Corporation

Ciudad de México
Remoto
MXN 916.000 - 1.284.000
30+ giorni fa

Clinical Supply Chain Associate Manager

ICON Clinical Research

Ciudad de México
Remoto
MXN 1.466.000 - 2.017.000
30+ giorni fa

Executive Assistant for Real Estate Broker

Mate&Work

Ciudad de México
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Senior Sales Specialist – Technology Outsourcing & AI Solutions (Hunter + Farming) / 1704

In All Media Inc

Messico
Remoto
MXN 1.103.000 - 1.839.000
30+ giorni fa

Software Engineering Manager

Mitratech Holdings Inc

Messico
Remoto
MXN 1.655.000 - 2.391.000
30+ giorni fa

Technical Customer Success Manager - Mexico

JumpCloud

Ciudad de México
Remoto
MXN 40.000 - 60.000
30+ giorni fa

Laravel and React Developer (Latin America, Remote position)

Medium

Ciudad de México
Remoto
MXN 200.000 - 400.000
30+ giorni fa

Technical Customer Success Manager - Mexico

JumpCloud

Messico
Remoto
MXN 923.000 - 1.294.000
30+ giorni fa

Senior Software Engineer

Allstate

Messico
Remoto
MXN 1.293.000 - 1.663.000
30+ giorni fa

Qualifiche principali:

Lavori da En RemotoLavori da GobiernoLavori da Call CenterLavori da SecretariaLavori da Editor De VideoLavori da EconomiaLavori da EscuelasLavori da Desarrollo WebLavori da SeguridadLavori da Vendedores

Aziende principali:

Lavori presso Grupo MexicoLavori presso PepsicoLavori presso TecmilenioLavori presso CiscoLavori presso Schneider ElectricLavori presso ContinentalLavori presso MicrosoftLavori presso DisneyLavori presso CaterpillarLavori presso Penafiel

Città principali:

Lavori a GuadalajaraLavori a MonterreyLavori a MexicaliLavori a QueretaroLavori a PueblaLavori a ZapopanLavori a ChihuahuaLavori a Ciudad Benito JuarezLavori a ReynosaLavori a Saltillo
FBS FinOps Cloud Engineer
Capgemini
Remoto
MXN 1.189.000 - 1.556.000
Tempo pieno
30+ giorni fa

Descrizione del lavoro

A leading business services provider in Mexico City seeks a FinOps Automation and AI Engineer. This key technical role involves integrating automation and AI into the FinOps practice to optimize cloud spending across multi-cloud environments. Candidates should have at least 5 years of relevant experience, fluency in English, and expertise in Python and cloud architecture. The position offers competitive compensation and a comprehensive benefits package.

Servizi

Competitive salary and performance-based bonuses
Comprehensive benefits package
Flexible work arrangements
Private Health Insurance
Paid Time Off
Training & Development opportunities

Competenze

  • At least 5 years of experience in cloud engineering, DevOps, or FinOps principles.
  • Full English Fluency.
  • Automation and cloud cost optimization, management (MUST).
  • Experience Automation, AI (MUST).

Mansioni

  • Develop automated optimization strategies to implement cost-saving strategies.
  • Utilize machine learning models to develop predictive cost forecasting.
  • Integrate AI-related cloud spending into core cost governance frameworks.
  • Develop and maintain automated data pipelines for cloud cost data.
  • Create self-service tools and APIs for engineering teams.

Conoscenze

Cloud engineering
DevOps principles
FinOps principles
Python scripting
AI and automation
Communication

Formazione

BS in Computer Science or similar

Strumenti

AWS Cost Explorer
Azure Cost Management
GCP Billing APIs
Terraform
Kubernetes
Descrizione del lavoro

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:
  • A solid and innovative company with a strong market presence
  • A dynamic, diverse, and multicultural work environment
  • Leaders with deep market knowledge and strategic vision
  • Continuous learning and development
Job Summary

The FinOps Automation and AI Engineer will be a key technical resource responsible for integrating automation and artificial intelligence into the FinOps practice. Will develop and deploy intelligent solutions to manage and optimize cloud spending across multi-cloud environments with a special focus on AI and ML workloads.

This role requires deep expertise in cloud platforms, FinOps principles, programming, and a strong understanding of how AI can drive proactive and autonomous cost efficiency.

Some of the Key Responsibilities
  • Develop automated optimization strategies: Design and build automation scripts and workflows to implement cost-saving strategies such as automated rightsizing, resource scheduling, and managing commitment-based discounts like Savings Plans and Reserved Instances.
  • Integrate AI for advanced insights: Utilize machine learning models (PLUS) and LLMs to move beyond reactive reporting. Develop predictive cost forecasting, perform intelligent anomaly detection, and generate contextual, automated explanations for spending fluctuations.
  • Standardize and govern AI spending: Integrate and standardize AI-related cloud spending into core cost governance frameworks. Create guidelines and best practices for cost-effective AI service consumption.
  • Enhance reporting and allocation: Develop and maintain automated data pipelines to ingest, normalize, and process cloud cost and usage data from various providers. Design and deliver comprehensive reports and dashboards that accurately attribute costs to business units, teams, and products.
  • Build AI-powered tooling: Create and maintain self-service tools and APIs that empower engineering teams with better visibility and control over their cloud budgets and forecasts.
Qualifications
  • At least 5 years of experience in cloud engineering, DevOps, or FinOps principles
  • Full English Fluency
  • Automation and cloud cost optimization, management (MUST)
  • Experience Automation, AI (MUST)
  • Cloud Architecture exp (Desirable)
  • BS in Computer Science or similar
  • Communication: Excellent communication skills to effectively translate complex financial data and technical insights to both engineering and non-technical stakeholders, including senior leadership.
Technical Experience
  • Proficiency in Python for scripting, automation, and API integration. (MUST)
  • Deep cloud platform knowledge in at least one major cloud provider (AWS, Azure, or GCP), including their pricing models, APIs, and services. (MUST)
  • Experience with cloud billing APIs and cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, GCP Billing APIs). (Desirable)
  • Hands‑on experience with infrastructure‑as‑code (e.g., Terraform), containerized environments (Kubernetes or similar), and serverless architectures. (MUST)
  • Familiarity with AI/ML technologies and the unique cost drivers of AI workloads (e.g., GPUs, token‑based APIs).
  • Analytical Skills: Strong data analysis skills, with the ability to query, analyze, and summarize large datasets using tools like SQL, Excel, Tableau, or Power BI.
  • Certifications: FinOps Certified Practitioner (FOCP) or relevant cloud certifications (PLUS)

This position comes with a competitive compensation and benefits package.

Benefits
  • A competitive salary and performance‑based bonuses.
  • Comprehensive benefits package.
  • Flexible work arrangements (remote and/or office‑based).
  • You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
  • Private Health Insurance.
  • Paid Time Off.
  • Training & Development opportunities in partnership with renowned companies.
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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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