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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating cloud infrastructure for AI products, with a strong focus on automation, scalability, and security. Proficient in infrastructure as code, CI/CD pipelines, and regulatory compliance within the Fintech sector.
Highest-signal resume keywords
AWS Cloud Infrastructure ManagementInfrastructure As Code (Terraform/OpenTofu)CI/CD Pipeline DevelopmentContainer Orchestration (Kubernetes)Advanced Prompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Infrastructure DesignInfrastructure As CodeCI/CD Pipeline DevelopmentContainer OrchestrationLinux AdministrationPostgreSQL Database AdministrationAutomated Failover ImplementationProactive Monitoring DesignCost Optimization TechniquesAPI Gateway Integration
Tools & Technologies
GitLabDockerKubernetesDatadogGrafanaAWS Secrets ManagerRDS/AuroraClaude (Anthropic)Caching TechniquesBatching Techniques
Certifications & Qualifications
AWS Solutions ArchitectAWS DevOpsAWS Machine Learning
Industry Keywords
FintechRegulatory ComplianceCNBVSOC 2PCI
Tech Stack
Tools & technologiesAWSCloudDockerEC2GrafanaKubernetesLinuxPostgresPythonTerraform
About the role
Key responsibilities & impact- Design and operate cloud infrastructure supporting AI products
- Integrate Claude (Anthropic) as the foundational model
- Ensure scalable, secure, and cost-efficient environments
- Eliminate manual dependencies to accelerate engineering development cycles
- Develop infrastructure as code using OpenTofu/Terraform
- Build CI/CD pipelines using GitLab, Docker, and Kubernetes
- Integrate AI platform components including API gateways, model routing, and traceability
- Optimize operational costs through caching and batching
- Administer relational databases using RDS/Aurora with PostgreSQL
- Implement automated failover and robust backup policies
- Centralize credential management with AWS Secrets Manager
- Design proactive monitoring using Datadog and Grafana
- Standardize architecture with the Cloud/SRE team
- Ensure regulatory compliance with CNBV, SOC 2, and PCI alongside Security & Compliance
Requirements
What you’ll need- 4+ years operating production workloads in AWS (EC2, IAM, RDS/Aurora, S3, Secrets Manager)
- Proven experience with Terraform/OpenTofu
- Experience with CI/CD pipelines
- Experience with container orchestration
- Linux administration experience
- Technical mastery of Claude and advanced Prompt Engineering
- Experience operating LLM services in production
- Experience in the Fintech sector (desirable)
- Advanced Python (desirable)
- AWS certifications such as Solutions Architect, DevOps, or Machine Learning (desirable)
Benefits
Comp & perks- Impact at Scale: Build solutions that solve real financial challenges for Mexican businesses
- Cutting-Edge Innovation: Lead the integration of Generative AI in high-impact regulated products
- Culture of Excellence: Join a team focused on critical thinking, agile execution, and a strong sense of ownership
- Operational Flexibility: A results-oriented work model designed to maximize your productivity and professional development
- Hybrid work model