Alberto Gonzalez Pozo

Leading the centralization of SEO logic into a unified backend system, migrating logic previously scattered across multiple services — targeting +28M clicks on optimized elements across the website in 2026. Covers indexing rules, redirections, metadata template and sitemap generation, top filters and suggestions engine.

Designed the system to handle high-volume page indexing with near real-time updates, ensuring SEO metadata stays current as content changes across the platform.

Own the end-to-end development cycle: design, development, testing, deployment, and monitoring of Go and Rust microservices in distributed cloud systems.

Leverage observability tooling (Datadog, Elasticsearch/Kibana) to monitor system health and performance in production.

Built backend web services end-to-end for the Pricing Team across monolithic and microservices architectures in Go, using gRPC and REST for internal and external service communication, on a platform handling 8.5B+ search requests and 9.9M bookings annually.

Contributed to the architecture design and development of Price Tolerance, a Go microservice ensuring consistent pricing across booking stages by reconciling shifting price limits between customers and suppliers, reducing booking friction and complaints.

Currently improving the markup system to increase company revenue margins based on complex dynamic rules based on regions, destinations, customers, taxes, cancellation rules and more.

Implemented observability (distributed tracing, structured logging, real-time monitoring) monitored with Prometheus/Grafana.

Led code reviews and mentored team members.

Built backend web service APIs and a concurrent job-scraping engine for Found.dev, aggregating 40K+ jobs from multiple sources with minimal duplication and near real-time freshness, as part of a 2-person backend team.

Implemented best-practice concurrency patterns in Go to handle multiple simultaneous data streams, improving scraping speed and reliability across sources.

Built automation tools to scrape and republish content from Medium to WordPress via API, processing 150+ posts/day and migrating 5,000+ articles in total, replacing what would have been a fully manual workflow.

Integrated RapidAPI to enrich job data with additional metadata.