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tylern91/README.md

Tyler Nguyen

Cloud-Native Platform Engineering Β· Enterprise Solution Architecture Β· Engineering Leadership


Summary

  • Detail-oriented engineering leader with 15+ years of experience designing, operating, and scaling cloud-native platforms across BFSI, E-Commerce, SaaS Product, and Enterprise Software Delivery.
  • Experienced in leading multi-disciplinary platform teams and managing concurrent workstreams across complex, regulated environments.
  • Proven track record of translating business goals into resilient technical strategy - from planning to completion - with consistent, high-quality delivery in mission-critical environments.
  • Committed to enabling developer productivity at scale through GitOps-driven pipelines, self-service infrastructure, and observability-first engineering cultures.
  • Solid hands-on depth in reliability engineering, security hardening, infrastructure automation, and performance tuning, paired with strong cross-functional leadership instincts.
  • High capacity to absorb new workflows and technologies, and to embed them pragmatically into engineering practice with lasting impact.

Contact


Core Skills

Cloud Platforms

Amazon Web Services Google Cloud Platform Microsoft Azure Oracle Cloud

Infrastructure & Orchestration

Kubernetes Terraform Ansible Docker Helm HashiCorp Vault Packer Istio Kong

Observability & Security

Datadog Prometheus Grafana Loki Elastic Stack New Relic Splunk SonarQube Snyk

CI/CD & Developer Platforms

GitOps ArgoCD GitHub Actions GitLab CI CircleCI Jenkins Spinnaker TeamCity

Data & Messaging Platforms

Apache Kafka RabbitMQ PostgreSQL MySQL MongoDB Redis CockroachDB

Engineering

Go Python Java TypeScript Node.js Bash

Current Learning & Exploring Journey

  • Platform Engineering as a Product β€” Internal developer platforms (IDPs), developer experience metrics, and self-service infrastructure patterns that reduce cognitive load for engineering teams
  • AI in the Engineering Workflow β€” AIOps, AI-augmented code review, intelligent observability, and responsible adoption of AI tools in software delivery
  • Engineering Leadership β€” Team topology and organisational design, OKR frameworks for engineering, and data-informed engineering management
  • FinOps & Cost Engineering β€” Cloud unit economics, cost attribution models, and engineering-led cost optimisation at scale

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