Hire Freelance
Cloud Golang Developers in Spain

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 high-throughput Go services and Kubernetes platforms across GCP, Azure, and AWS, using asynchronous messaging and automated quality gates. Built a conversational messaging platform supporting webhook automation, real-time WhatsApp interactions, in-chat purchases, and digital payments.

• Cross-cloud Kubernetes operations
• CI/CD pipeline standardization
• Enterprise webhook processing
• Real-time payment messaging

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

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

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

Designed AWS serverless data pipelines with Step Functions and S3 to reduce service coupling and improve fault tolerance. Built Go services using concurrency and performance patterns across cloud products supporting education, healthcare, and AI-assisted workflows.

• Implemented workflows with Lambda, SQS, and ECS
• Built search capabilities with Elasticsearch and OpenSearch
• Developed AI tools using LangChain and LangSmith
• Provisioned infrastructure through Terraform and Kubernetes

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

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

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

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

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

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

Designed and deployed a Go fintech backend integrating portfolio tracking, Spanish tax reporting, OAuth authentication, and PSD2 Open Banking through Salt Edge. Created Go systems utilities including a DNS failover controller with per-domain goroutines and a Supervisord-style client-daemon tool.

• Raw ICMP and IPv4 networking in C
• Cloudflare DNS API automation
• YAML-configured daemon processes
• 99% uptime Django production maintenance

Built government-scale geospatial systems supporting more than 800,000 agricultural beneficiaries and €7.1 billion in annual subsidy monitoring. Developed GCP ETL pipelines for land-use datasets and satellite imagery, a PostGIS cartographic monitoring platform, and a public catalogue API exposing more than 300,000 authority records.

• Google Earth Engine extraction
• BigQuery analytical datasets
• CKAN open-data API
• Containerized GCP services