gabaldonot@gmail.com | 1.407.437.5584 | otgabaldontorrents.com
About Me
Backend engineer specializing in distributed systems and scalable backend services.
I build systems designed for debuggability, maintainability, and scale. My work spans geofencing with PostGIS, feed rendering optimization, observability implementation with OpenTelemetry, and incident response for distributed workflows. I focus on creating infrastructure that enables teams to ship reliably and respond quickly when things go wrong.
Skills
Infrastructure: AWS, Azure, Docker, Kubernetes, Terraform, Helm, GitHub Actions
Data: PostgreSQL, PostGIS, Redis, DynamoDB, MSSQL, Temporal
Observability: Datadog, OpenTelemetry, Azure App Insights, Prometheus
Languages: Java, Kotlin, TypeScript, Python
Experience
Kale
Senior Software Engineer | June 2025 - Present
Build scalable backend systems for a creator rewards platform.
- Designed and implemented a geofencing system using PostGIS to enable location-based brand challenges, supporting real-time spatial queries across the user base.
- Re-architected the feed rendering system to decouple queries and enable parallelization, reducing latency by 500ms on app load.
- Implemented full observability stack with OpenTelemetry: distributed tracing, custom metrics, and structured logging across backend services and Temporal workflows.
- Optimized CI/CD pipeline by consolidating container builds and reducing test flakiness, cutting deploy time from 50+ minutes to 24 minutes.
- Built tournament platform ingesting external data via scrapers and webhooks, processing events through a decoupled facade pattern, with leaderboard rankings served from PostgreSQL.
- Led incident response and recovery during AWS outage, building tooling to recover Temporal workflows and authoring post-mortems and operational runbooks.
- Tech: Kotlin, TypeScript, PostgreSQL, PostGIS, Redis, Temporal, OpenTelemetry, Docker, GitHub Actions, AWS.
UiPath
Software Development Engineer II | March 2022 - June 2025
Architect and deploy distributed backend services to create robust APIs.
- Built an event dispatching system using a modified outbox pattern with DynamoDB, enabling concurrent consumers to process events without duplicates via transaction-based locking. Later implemented an MSSQL version with ordering guarantees that simplified producer logic.
- Built configurable logging infrastructure with Pino and custom Koa middleware for request context propagation.
- Developed internal metric libraries for Datadog integration and added distributed tracing across microservices for Datadog and Azure App Insights.
- Enhanced an internal event processing library to support parallel webhook execution.
- Implemented scoped authorization system using JWTs and Auth0, enabling fine-grained permission control across services.
- Led service migrations from AWS to Azure using Docker, Terraform, and Helm.
- Tech: Java, TypeScript, Docker, Kubernetes, GitHub Actions, DynamoDB, MSSQL, Datadog, Azure App Insights.
Amazon
Software Development Engineer | July 2019 - March 2022
Design and deliver features with less than 15 ms latency and over four 9s of reliability.
- Designed and implemented front-end components with <15ms latency and 99.99%+ reliability.
- Refactored frontend rendering logic into internal APIs to improve maintainability.
- Created AWS Step Function-based workflows for Lambda executions.
- Developed internal tools for managing Amazon digital subscriptions, using Lambda to serve HTML pages.
- Tech: Java, JavaScript, React, Python, AWS Lambda, Step Functions.
Trilogy Education
Teaching Assistant | Sept 2018 - Jan 2019
Assisted the Professor in educating students about data visualization in Python.
- Assisted students in Python data visualization.
- Supported deployment of visualization tools to public APIs.
- Guided students through ML concepts like backpropagation and overfitting.
- Tech: Pandas, Numpy, and D3.js.
StratEx
Front End Intern | Jun 2017 - Aug 2017
Managed production code, version control, CI pipelines, and collaborated on a shared codebase.
- Developed configuration pages for a SaaS HR web app.
- Contributed to production codebase, CI pipelines, and cross-team collaboration.
- Simplified technical concepts for non-technical stakeholders.
- Tech: .NET, Knockout
Education
University Of Central Florida
Computer Science | Fall 2016 - Spring 2019
- Member, ML reading group (Neural Networks focus).
- Contributed to R-based ecological research tools.
- GitHub: soundecology, mangrove
Outside of Work
Outside of work, I enjoy cooking, live music and discovering new parts of the city. I’m also passionate about weightlifting and cycling.