Teide, Tenerife - Spain
Senior Software EngineerCloud & AI Platform Engineer
I build cloud-native software and enterprise AI platforms, transforming complex business requirements into scalable, secure, and production-ready solutions.
AWS Certified with multiple certifications, including Developer Associate and Solutions Architect Associate. Specialized in Amazon Bedrock, LangGraph, Kubernetes, Terraform, and modern cloud-native architectures.
Core Expertise
Designing and building scalable cloud-native software and enterprise AI platforms.
- 15+ AWS Certifications
- 8+ Years Building Software
- Cloud Architecture
- Platform Engineering
- Enterprise AI Platforms
- Multi-Agent Systems
- RAG Pipelines & Vector Search
- AWS EKS & Kubernetes
- CI/CD · GitHub Actions · GitLab CI
- Terraform • AWS CDK • CloudFormation
Experience Highlights
LLM & Agent Engineering
- Built enterprise AI Gateways with LiteLLM and LangGraph, integrating Azure OpenAI and AI Foundry for vector stores, multi-agent routing, tool calling, and LangSmith observability.
- Implemented RAG pipelines with document ingestion, vector retrieval, S3-driven dynamic assistant configuration, and WebSocket-based streaming for real-time chat.
- Orchestrated LLM workflows with specialized agent deployments, config sync to S3, and secure multi-tenant access patterns for internal AI assistant platforms.
AI Platform Delivery
- Delivered React and TypeScript admin and chat UIs with TanStack Query, reusable components, and Keycloak or Cognito authentication for assistant lifecycle management.
- Developed Node.js/Fastify and Python/FastAPI APIs with Prisma or DynamoDB, supporting multi-tenant organizations, conversation flows, and role-based access control.
- Deployed AI stacks to AWS EKS with GitLab CI/CD and Bricks or GitHub Actions, enabling consistent multi-environment releases from development to production.
Cost & Automation
- Reduced infrastructure costs by over $8,000 USD annually by migrating pipelines from CircleCI to GitHub Actions and optimizing resources in AWS ECS.
- Consolidated 20+ Lambdas into a single repository with Amplify Gen 2, optimizing resource management and reducing operational complexity.
- Automated 50+ CI/CD pipelines for build, test, and deploy workflows with GitHub Actions, Jenkins, and CircleCI, cutting manual ops effort and recurring pipeline run costs.
Serverless Architecture
- Designed and implemented event-driven serverless solutions with Lambda, Step Functions, SQS, SNS, DynamoDB, EventBridge, S3, and AppSync.
- Implemented infrastructure automation using Terraform, AWS CDK, and Amplify Gen 2 for multi-environment deployments and centralized control.
- Developed secure architecture with VPC, subnets, security groups, and identity management with Cognito to ensure isolation and access control.
Refactor & Microservices
- Refactored 50+ monolithic APIs into scalable microservices following the single responsibility principle, using Go, Node.js, NestJS, Python, and Laravel.
- Built full-stack applications with React, Redux Toolkit, and TanStack Query for scalable enterprise web and mobile experiences.
- Enabled interoperability between microservices and GCP systems through secure and efficient integrations.
Cross-Platform Apps
- Developed ordering and loyalty modules in Next.js, React Native, and React, enhancing user experience in mobile and web apps.
- Designed scalable APIs using GraphQL (AppSync) and REST (API Gateway) for critical customer-facing services.
- Implemented multi-channel authentication with Cognito, event orchestration with SNS, and access control in distributed environments.
CI/CD & Infrastructure
- Replaced legacy CircleCI with GitHub Actions and GitLab CI/CD (Bricks), using OIDC for temporary AWS roles, parallel lint/test/build/deploy workflows, Jira traceability, and automated Amplify rollbacks.
- Provisioned multi-environment infrastructure with Terraform, CloudFormation, AWS CDK, and Bricks across EKS, S3, RDS, and IAM for consistent dev-to-prod delivery.
- Automated serverless deployments for healthcare assessment platforms with AWS CDK and EventBridge-driven pipelines; expanded Pytest coverage across 20+ repositories.
Observability & Reliability
- Implemented Splunk trace-based logging and Datadog APM on enterprise AI platforms, plus CloudWatch dashboards, SNS alerts, and Slack incident channels for quick-service retail systems.
- Delivered branch and environment-based deployments with automated rollback across isolated dev/qa/prod stacks under a single AWS organization.
- Centralized log aggregation and key service metrics for health monitoring, enabling faster incident response and operational ownership.
Cloud & Serverless
- Designed event-driven serverless systems with Lambda, Step Functions, SQS, SNS, DynamoDB, AppSync, and EventBridge—including DynamoDB migration/rollback flows and candidate exam orchestration.
- Led Amplify Gen 2 monorepo architecture with independent stacks per domain: AppSync GraphQL gateway, DynamoDB streams, KMS encryption, and granular IAM per environment.
- Applied AWS Well-Architected pillars—operational excellence, security, reliability, performance, and cost—across client and enterprise solutions.
Platform & Integration
- Led a cross-channel banking integration ecosystem and migration of 50 monolithic APIs to microservices on API Gateway, EKS, Lambda, Cognito, and private VPC networking.
- Designed hybrid enterprise architectures connecting on-premise systems to AWS through Direct Connect, VPC segmentation, and secure API Gateway endpoints.
- Built internal consumption platforms with React on CloudFront, private API Gateway, Cognito RBAC, and Glue ETL pipelines for enterprise data workflows.
Technical Direction
- Led the development of the first multi-authenticator system for digital banking channels, integrating security layers in Cognito, SNS, and VPC.
- Designed and coordinated an integration ecosystem between legacy and modern services, enabling a smooth transition to a cloud-native architecture.
- Guided technical teams in designing, planning, and deploying scalable, robust solutions aligned with business objectives.
Quality & Culture
- Implemented CloudWatch dashboards and key metrics for health and performance monitoring across distributed services.
- Promoted continuous quality culture and technical ownership at all levels of development and infrastructure.
- Validated KPIs and led Scrum delivery while coordinating stakeholders across banking and enterprise programs.
