Vetted

Carlo Reyes

Senior Backend Engineer

Experience

9+ Years

Availability

Full-time

Location

🇵🇭 Quezon City, Philippines

English

Advanced

Go Kubernetes gRPC PostgreSQL Kafka

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Verified by Second Talent Jan 2024

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About

Carlo is a backend engineer specializing in Go and distributed systems. He has designed high-availability microservices for SaaS and fintech companies, with experience in infrastructure automation and systems handling millions of requests daily. His expertise covers service mesh architectures, event-driven systems, and database optimization at scale. He is particularly strong at breaking down monolithic applications into well-bounded microservices without disrupting production traffic.

Languages

English

Advanced

Filipino

Native

Skills

Backend

Go gRPC REST APIs Python Rust

Data

PostgreSQL Redis Apache Kafka Elasticsearch DynamoDB

Infra

Kubernetes Docker Terraform Istio Envoy

Cloud

AWS GCP CloudFlare Workers

Observability

Prometheus Grafana Jaeger OpenTelemetry

Experience

Senior Backend Engineer

2021 - Present

GCash

Architects and maintains core payment and ledger microservices in Go. Leads the backend team of 5 engineers and owns the migration from monolith to microservices.

Payment services handle 2M+ transactions/day with 99.99% uptime
Monolith-to-microservices migration completed with zero downtime
Reduced p99 API latency from 800ms to 120ms through service optimization

Backend Engineer

2018 - 2021

Nium

Built event-driven microservices in Go and Python for a multi-tenant SaaS platform. Implemented Kafka-based event sourcing and CQRS patterns.

Event sourcing system processes 5M+ events/day across 200+ tenants
Kafka pipeline achieved 99.95% message delivery with exactly-once semantics
Reduced infrastructure costs by 35% through Kubernetes optimization

Software Developer

2015 - 2018

Accenture Philippines

Developed backend services for enterprise resource planning and inventory management systems. Built REST APIs and database optimization for high-transaction-volume clients.