10+ years building backend services, REST APIs, and data-integration layers for financial services platforms. Most recently spent four years (remote, for an Australian employer) scaling a two-decade-old enterprise platform used by Australian superannuation funds.

I like problems where correctness under load actually matters: large data migrations, batch integrity, and dragging legacy systems toward modern tooling without breaking the people who depend on them.

📍 Laguna, Philippines · Open to remote roles worldwide 🔗 LinkedIn · raymarmontecs@gmail.com

High-throughput data archiving (Java, JDBC, Quartz, SQL Server) Multithreaded archiving pipeline moving hundreds of millions of rows to cold storage. Per-batch rollbacks and checksum validation for a verifiable audit trail. Cut primary database size by ~30%, reducing client storage costs and improving query latency.

Automated nightly QA deployments (PowerShell, Buildkite, Docker) Folded QA environment setup into the overnight build: remote installs, service restarts, and Slack failure alerts. Eliminated the team's daily manual setup entirely.

Large-file storage beyond platform limits (Salesforce, Apex, AWS) Upload sharding plus checksum verification to store files up to ~50 GB on a platform with much smaller native limits.

Java Spring Boot Hibernate/JPA TypeScript Node.js SQL PostgreSQL MS SQL Server AWS (Lambda, S3, EC2) Docker Jenkins Buildkite Gradle JUnit Mockito Playwright

Currently going deeper on Kubernetes, Kafka, and Terraform.