Backend + Full Stack Software Engineer · Cebu / Remote

Kim Bejona in a software engineering workspaceI connect backend systems, AI workflows, cloud infrastructure, and the product interfaces around them.

Build systems that scale.

I design reliable enterprise backend platforms, AI-enabled workflows, RAG pipelines, agent integrations, cloud services, and front-end experiences.

Open to backend engineering and technical leadership conversations

kim@portfolio:~

$ whoami

kim.bejona


$ cat focus.txt

backend · events · cloud · quality


$ ./ship --reliably

✓ tests passing

✓ pipeline ready

✓ observability enabled

7+years building software
Javacore engineering language
EventsKafka · RabbitMQ systems
CloudAWS · Azure delivery

Selected work

Engineering in public.

Enterprise software is the common thread: I build systems used by business teams and production operations, with the reliability, security, integration boundaries, and support practices that enterprise environments demand.

01 / Enterprise case studyevents

Event-driven enterprise platform

An enterprise microservice workflow with asynchronous messaging, retries, and observable failure paths for business-critical operations.

JavaSpring BootKafkaPostgreSQL
02 / Enterprise case studybackend

Production-grade enterprise API

Dependable APIs for enterprise workflows with validation, error handling, testing strategy, documentation, and performance checks.

Spring MVCJUnitMockitoOpenAPI
03 / Enterprise case studycloud

Enterprise cloud delivery pipeline

Automated builds, quality gates, deployment automation, logs, and operational feedback for systems that teams rely on in production.

JenkinsAnsibleAWSSonarQube

Career path

Experience.

Enterprise software is the common thread: I build systems used by business teams and production operations, with the reliability, security, integration boundaries, and support practices that enterprise environments demand.

Focus: Enterprise services, requirements-to-release delivery, and production reliability

  • Build and maintain enterprise backend services, microservices, REST APIs, Python utilities, and SQL-backed solutions.
  • Translate business requirements into design artifacts, test scripts, production-ready code, and supportable releases.
  • Contribute code reviews, root-cause analysis, deployment support, reusable standards, and mentoring across production teams.

Technical toolkit

My stack.

Backend engineering

  • Java · Spring Boot · Spring MVC
  • Microservices · REST APIs
  • JPA · Hibernate

Messaging & data

  • Apache Kafka · RabbitMQ
  • MySQL · PostgreSQL · Oracle
  • Event-driven design

Quality & delivery

  • JUnit · Mockito · JMeter
  • Jenkins · Ansible · SonarQube
  • Splunk · Kibana

Cloud & frontend

  • AWS · Azure · Docker
  • React · Angular · Vue · Next.js
  • TypeScript · JavaScript

Enterprise systems

  • Insurance · fintech · travel
  • Business-critical workflows
  • Production support · reliability

AI & integrations

  • Python · RAG pipelines
  • Agent integrations · MCP
  • Shopify · CRM · LLM APIs

Start a conversation

Have a hard backend problem?

I’m interested in scalable systems, event-driven architecture, cloud delivery, and teams that care about engineering quality.