Renz Patdu Senior Software Engineer
I’m a senior software engineer with 6+ years of experience building and automating cloud-native platforms on AWS and Azure.
About
I’m a senior software engineer with 6+ years of experience building and automating cloud-native platforms on AWS and Azure. I focus on scalable infrastructure, Terraform-driven provisioning, reliable CI/CD pipelines, and Kubernetes-based workloads that support enterprise-grade delivery.
I enjoy improving systems end-to-end—hardening security with least-privilege access and policy automation, strengthening observability with Prometheus/Grafana/Datadog, and driving cost optimization through FinOps practices. I’ve also built self-service tooling to speed up onboarding for internal teams and migrated legacy services to containerized architectures for smoother, zero-downtime releases.
- 8 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Professional Services
- Financial Services
More experts in Manila, Philippines
Work experience· 4 roles
Architected a multi-region EKS platform using Terraform, improving deployment latency and reducing infrastructure costs through EC2 right-sizing. Built CI/CD pipelines with GitHub Actions and Helm, supporting reliable SaaS release cycles with strong deployment success. Implemented automated security hardening using OPA policies and least-privilege IAM roles, reducing production audit findings. Established centralized observability with Prometheus, Grafana, and Datadog to speed up incident resolution. Developed a Python-based self-service provisioning portal that on-demand provisioned Terraform environments for 150+ internal teams. Containerized services and migrated from a legacy monolith to Kubernetes for improved scalability and enabled blue-green deployments with zero downtime. Led FinOps using AWS Cost Explorer tagging and budget alerts, delivering significant annual savings. Mentored a 12-engineer team on IaC best practices, reducing configuration drift.
Designed a secure Azure AKS environment for AI-driven legal analytics, integrating Azure AD and Key Vault to meet GDPR requirements. Automated provisioning with Terraform modules and Azure Pipelines, reducing environment setup time substantially. Containerized Python microservices with Docker and deployed via Helm, achieving high uptime during peak load. Built a Kafka-based event pipeline for real-time document processing, improving throughput while maintaining data integrity. Implemented monitoring with Azure Monitor and Grafana to provide SLA-grade alerting and reduce mean time to resolution. Used Bash and Ansible to enforce configuration standards across 30+ VMs and eliminate manual drift. Collaborated with product stakeholders to add LaunchDarkly feature flags for safer A/B testing. Optimized cloud spend via auto-scaling and rightsizing Azure SQL databases, delivering annual savings.
Built a loyalty-points microservice ecosystem using Java Spring Boot and Docker, supporting millions of monthly active users. Implemented CI pipelines with Jenkins and Maven to reduce build times and enable frequent releases. Integrated AWS S3 and RDS for scalable storage with high availability. Automated infrastructure health checks with Python to reduce manual operations effort. Designed RESTful APIs aligned with OpenAPI standards to improve third-party integration speed. Participated in on-prem to cloud migration, moving legacy workloads to AWS EC2 with zero downtime.
Education· 6
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