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Golang Developers in Spain

Designed and implemented distributed systems for real-time data processing in financial services. Developed scalable microservices architecture handling millions of transactions daily. Spearheaded the migration of monolithic applications to cloud-native solutions, improving system reliability and performance.

• Optimized SQL queries for high-frequency trading systems
• Integrated PHP legacy systems with modern Golang services
• Engineered RESTful APIs for fintech platforms
• Automated CI/CD pipelines using Python scripts

Developed large-scale distributed systems for financial transaction processing, optimizing for low latency and high throughput. Architected a microservices platform leveraging Golang and Kafka for real-time data streaming, supporting millions of transactions per day. Implemented advanced caching strategies using Redis to enhance system performance in a high-demand environment.

• Designed fault-tolerant message queues with RabbitMQ
• Built scalable database solutions with PostgreSQL and MySQL
• Integrated CI/CD pipelines for automated deployment and testing

Led the development of a real-time IoT data processing platform using Golang and Node.js, achieving high availability and fault tolerance. Spearheaded the creation of a scalable cloud-based infrastructure for a SaaS application.

• Implemented serverless architecture with AWS Lambda
• Developed custom plugins for data visualization tools
• Built a CI/CD pipeline for automated deployments

Engineered scalable backend services using Golang and Java for enterprise applications. Developed cloud-based solutions with Python for automation. Integrated multi-language support with C# and TypeScript.

• Scalable backend services
• Cloud-based automation solutions
• Multi-language support integration

Built and shipped multiple SaaS products with Go, React, AWS ECS, RDS, Athena, Terraform, and GitLab CI/CD, covering backend delivery through infrastructure automation. Developed an IoT product with a Go backend and React Native client, while owning technical roadmaps for products and cross-functional delivery.

• Reduced e-commerce infrastructure costs by 30%
• Built AI integrations into SaaS workflows
• Created game-accessory e-commerce infrastructure
• Managed deployments across AWS data services

Designed scalable backend architectures using Erlang and Golang, focusing on concurrency and fault-tolerant systems. Led the development of data-intensive applications with SQL and Python.

• Implemented complex data transformations with Bash scripting
• Architected messaging systems for real-time communication
• Optimized PHP applications for cloud deployments

Led backend development for a healthcare platform using Golang and FastAPI. Streamlined data workflows by building efficient APIs for medical data exchange. Enhanced system security and compliance with industry standards in sensitive data handling.

• Implemented TypeScript-based microservices with NestJS
• Optimized server response times under high load conditions
• Built data validation layers for clinical trial applications
• Automated testing frameworks for API reliability

Developed backend services for a social media platform, focusing on scalability and resilience. Implemented search functionalities with Elasticsearch, enabling real-time data retrieval and indexing.

• Configured Kubernetes clusters for improved resource allocation
• Streamlined CI/CD processes with Gitlab for faster deployments
• Deployed containerized applications using Docker on Google Cloud

Managed Kubernetes clusters with RKE2 and k3s for scalable deployments on Azure. Automated infrastructure operations using kubeadm.

• Kubernetes cluster management with RKE2
• Scalable deployments on Azure
• Automated ops with kubeadm
• Lightweight clusters using k3s

Reviewed government application architectures against standards for scalability, networking, availability, and compliance, while contributing to backend systems across mobile products, marketplaces, and iGaming. Refactored modular monoliths, added Go endpoint tests, and resolved a production reporting memory issue.

• Go httptest and table-driven testing
• Symfony and Behat BDD workflows
• Swagger API documentation
• Third-party payment and platform integrations

Shipped Go services for an AI-enabled social platform processing approximately 9.6 million translation messages monthly, plus rule-based user-generated-content moderation. Previously delivered enterprise RBAC and payment systems handling more than 2 million daily transactions and over 10,000 checks per second.

• Monorepo-wide dead-letter queue layer
• ScyllaDB and Cassandra data stores
• Redpanda and Kafka event pipelines
• Multi-model routing through OpenRouter

Built high-reliability payment platforms and more than 200 microservice components using Go and Rust, alongside Web3 infrastructure, smart contracts, and cross-chain services. Maintains an open-source Go multi-agent workflow orchestrator and operates tier-one transaction-processing systems with failure-oriented deployment and observability models.

• Kubernetes platform engineering
• Prometheus and Grafana operational telemetry
• Docker-based deployment automation
• Cross-chain backend integration

Architected a distributed enterprise data-exchange platform serving more than 600 applications across seven countries and approximately 70,000 daily transfers. Operated multi-petabyte streaming infrastructure across four production regions on OpenStack and AWS, and built an LLM-driven workflow execution product.

• Designed hybrid-cloud data movement across regions
• Built distributed API monitoring capabilities
• Integrated natural-language flow creation and debugging
• Developed GenAI-driven live workflow modification

Designed high-availability Go and Ruby on Rails microservices for retail and customer-loyalty platforms on GKE, Cloud Run, and other Google Cloud services. Combines REST, gRPC, Protobuf, PostgreSQL, MongoDB, Couchbase, and Dataflow-based data processing with LLM and conversational-agent integrations.

• Built Cloud Dataflow automation pipelines
• Deployed services through GKE orchestration
• Integrated Watson Assistant and Dialogflow
• Implemented Pandas-based data workflows