Almar Glen Marcelo | Backend Engineer

Professional Experience

Backend Java Developer

11/2024 - Present

Focused on developing high-performance, scalable microservices using Spring Boot and orchestrating deployments within a Kubernetes environment.

Engineered scalable backend applications following strict architectural guidelines and design patterns, utilizing clean code principles and rigorous testing to ensure high-quality, maintainable software.
Building backend application from the ground up to production. Ensuring adhesion to best practices and deployment strategy to ensure seamless shipping of applications to production
Integrated Agentic AI into development workflows to automate repetitive tasks, resulting in a documented 80–90% increase in productivity and efficiency.
Spearheaded the resolution of critical L3 production issues regarding outbound service interconnectivity, resolving production issue.
Facilitates production deployment ceremonies throughout the window period. Ensuring alignment of the agreed plan and objectives.

API Platform Engineer

09/2022 - 11/2024

Specialized in API infrastructure, governance, interconnectivity, cloud-native integration, and automated CI/CD pipelines.

Served as the Regional Subject Matter Expert and API Central Gateway Custodian for Asia, enforcing strict API governance, security standards, and OAuth 2.0 authentication protocols across the platform.
One of the core members of the team to perform Research and Development tasks integration with cloud to on-premise application
Championed the successful resolution of high-visibility security vulnerability in UAT. Ensuring the delivery to business within agreed timeframe. Recognized by the Product Owner
Developed scalable cloud infrastructure utilizing AWS services, Docker, and Kubernetes, while automating deployment workflows through Jenkins and Ansible for regional market teams.
Engineered high-performance backend solutions, including a custom Java caching library for AWS Lambda and DynamoDB, and established standardized system design guidelines to ensure consistency across multiple business units.
Drove operational excellence by monitoring various server healths via Grafana, managing Linux SystemD services, and ensuring stability of critical production servers.

Technical Skills & Infrastructure

Networking & VPC

Amazon VPC isolation, Routing tables, Public/Private Subnetting.

Connectivity

Internet Gateways, VPC Peering, and NAT Gateways for secure outbound traffic.

IAM, Security, & DNS

Identity and Access Management, Security Groups management and Route 53 DNS Routing.

Infrastructure as Code

Terraform for resource provisioning and Jenkins DSL for pipeline automation.

Microservices

Spring Boot, Kubernetes orchestration, and L2-L3 Support operations.

Automated Testing

Integration and unit testing for Java applications.

Systems Integration

Integrating Cloud platforms and 3rd-party services.

API Gateway Management

Secure Microservices and enforcing Non-functional requirements.

Performance Tuning

Optimizing applications by memory and CPU usage.

AI-Enabled Development

Maximize efficiency with spec-driven development. Boosting 90% productivity rate.

Cloud Strategy

Proven cloud development experience with AWS. Currently pursuing AWS Solutions Architect certification.

Professional & Leadership

Self-Driven Ownership

Proactive developer with a strong sense of ownership and confidence, capable of leading technical tasks from ideation to production with very minimal supervision.

Cross-Tribe Collaboration

Proven ability to break down silos and coordinate cross-functional initiatives to align on technical goals.

Easy-to-work with

No man is an island; collaborative approach to working with team members. Contributing to team dynamics overall.

Personal Projects

Cloud-based Automated Containerized Backend

This project deploys Spring Boot application as a container. The job consists of building the dockerfile from a repository, build the image, provision an EC2 instance with docker daemon, pull the image, and run the container. The application is then accessed through the public internet and can be tested through the REST API endpoint. The project is automated through Jenkins and can be triggered manually.

This project focuses on infrastructure fundamentals and automated CI/CD flow and to showcase practical applications of AWS services such as Route 53, EC2, and Jenkins. It demonstrates my ability to design and implement cloud-based solutions.

Amazon Route 53 Amazon VPC Amazon Load Balancer Amazon EC2 Amazon Simple Notification Service (SNS) Networking Systems Design Routing Private & Public Subnetting Jenkins DSL Git Spring Boot REST API Hashicorp Terraform DNS Routing RHEL Servers CI/CD Automation Docker Containerization

Cloud-based Automated Portfolio Onboarding

As part of my cloud engineering journey, I built an automated pipeline that can be accessed through my purchased domain via registered under Amazon. To deploy static websites based on parameters provided in Jenkins. Deploying a templated webpage rendering content from the user.

Amazon Route 53 Amazon VPC Amazon Load Balancer Amazon EC2 Networking Systems Design Private & Public Subnetting Jenkins DSL Hashicorp Terraform DNS Routing RHEL CI/CD Automation Static Hosting