Golang Backend Engineer | Fintech & Enterprise System

Building resilient architectures for fintech & enterprise systems at scale

Golang Backend Engineer specializing in system integration, payments, and AI automation. Currently at PT IDS Teknologi Indonesia, focusing on banking H2H and scalable backend services.

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0+ Years

Engineering Experience

ERP Integrator

Primary Domain

System Integration

Focus Area

0+ Certifications

Certifications

Operational Tech Stack

Golang

C# (.NET Core)

TypeScript

Microservices

gRPC

Next.js

Docker

Turso DB

Kafka

PostgreSQL

System Design

Deep dives into architectural patterns and resilience.

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April 2, 20243 min read

Microservices Communication: Why gRPC is the Future

Optimizing internal service-to-service communication using HTTP/2, Protobuf, and gRPC for maximum performance.

grpcmicroservicesperformance

April 1, 20243 min read

The Transactional Outbox Pattern: Distributed Consistency

How to ensure atomic updates between your database and message brokers like Kafka or RabbitMQ.

transactional outboxconsistenykafka

Featured Projects

Selected works in system integration and enterprise backend.

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H2H Banking Integration

High-availability Host-to-Host (H2H) banking integration platform for low-latency financial settlement.

GolangRedisKafkaPostgreSQL

Core Technical Challenge

"Maintaining system uptime while integrating with legacy core banking APIs that have unpredictable latency spikes (>2s)."

Implementation Insight

Implemented a robust circuit breaker and retry mechanism using a custom Go middleware to prevent cascading failures.

Distributed Transaction Ledger

A high-performance double-entry ledger system designed for consistency in microservices.

GogRPCProtobufTurso

Core Technical Challenge

"Ensuring strict ACID properties across multiple payment microservices without sacrificing speed."

Implementation Insight

Utilized Saga Pattern (Choreography) to handle eventual consistency while using Redis for fast idempotency checks.

Real-time Anti-Fraud System

Streaming data pipeline for detecting fraudulent transactions in real-time.

PythonApache FlinkKafkaClickHouse

Core Technical Challenge

"Analyzing 50k+ transactions per second with <50ms decision latency."

Implementation Insight

Optimized Flink state management and used ClickHouse for immediate analytical OLAP response.