1 commit 138dab3
2 Author: Christian De Leon <christian@deleon.me>
3
4 Date: 2025-04 — 2025-12
5 Origin: Orlando, FL
6
7 Senior Systems Engineer (Promoted from Senior SRE) @ The Walt Disney Company
8 Promoted from SRE to Systems Engineering, leading infrastructure modernization with GitOps and IaC.
9 - Led migration of AWS AppStream infrastructure to a PCI compliant account, refactoring outdated PowerShell and Ruby scripts and automating manual pipeline steps with Jenkins and Packer
10 - Drove adoption of GitOps via ArgoCD and Infrastructure as Code with Terraform across the Systems Engineering team, replacing ad-hoc deployment processes
11 - Mentored colleagues on Kubernetes monitoring and automation, establishing proactive upgrade and patching practices across the team
12
13 Date: 2024-06 — 2025-03
14 Origin: Orlando, FL
15
16 Senior Site Reliability Engineer @ The Walt Disney Company
17 Managed observability platforms and Kubernetes infrastructure across 28 clusters spanning cruise ship and shoreside environments.
18 - Engineered high-availability LGTM stack (Loki, Grafana, Tempo, Mimir) across 28 Kubernetes clusters spanning cruise ship and shoreside environments using Helm charts and ArgoCD for GitOps, replacing redundant per-cluster configurations with a single standardized deployment
19 - Implemented Grafana Operator to standardize dashboards, alerts, and datasources across application teams, ensuring consistent observability across environments with intermittent connectivity
20 - Optimized LGTM configurations for cruise ship environments with limited connectivity, developing custom Grafana and Mimir alerts for early issue detection before on-shore teams could respond
21 - Led incident response for Kubernetes infrastructure, replacing manual remediation processes with Rundeck and ArgoCD automation to eliminate human error during outages
22 - Collaborated with application teams to embed Grafana Operator resources into their Helm charts, so monitoring, dashboards, and alerts deployed automatically alongside their applications
23 - Built multistage CI/CD pipeline for the LGTM stack, automating deployment, upgrading, and patching across development, staging, and production environments with integrated testing and approval gates for hands-off promotion to production
24
25 Date: 2023-06 — 2024-05
26 Origin: Orlando, FL
27
28 Lead DevOps Engineer @ Cole Engineering Services, Inc. (CESI), a By Light Company
29 Led DevSecOps architecture and Kubernetes platform engineering for USCYBERCOM's PCTE defense program.
30 - Architected remote desktop platform using Kasm Workspaces on Kubernetes and Docker with fine-grained access controls and persistent vSphere storage for USCYBERCOM's PCTE cyber training program
31 - Developed DevSecOps platform on vSphere with RKE2, integrating Flux CD for GitOps, Tekton for CI/CD, Harbor for container registry, Vault for secrets, and Nexus for artifact management
32 - Built virtual desktop toolkit with Packer, Ansible, and Terraform for air-gapped environments, packaging complex automations into single-command executions that third-party engineers could run without deep infrastructure knowledge
33 - Deployed LGTM stack with custom Grafana dashboards, Prometheus alerts, and Loki logging for full observability across PCTE training environments
34 - Served as the go-to expert for vSphere, AWS, Kubernetes, and distributed systems, mentoring engineers across teams
35 - Participated in recruiting, interviewing, and assessing candidates for DevOps and Software Engineering roles, contributing to strategic hiring decisions and team growth
36
37 Date: 2022-11 — 2023-06
38 Origin: Orlando, FL
39
40 Software Design Engineer @ Cole Engineering Services, Inc. (CESI), a By Light Company
41 Designed next-generation tools for USCYBERCOM's PCTE cyber training program.
42 - Designed next-generation platform for USCYBERCOM's PCTE program, architecting tools to visualize, plan, and budget cyber training environments
43 - Developed MVP front-end with React and Node.js where users could specify, visualize, and deploy training environments with minimal clicks
44 - Built MVP back-end services with PostgreSQL and Keycloak authentication on vSphere and Kubernetes, handling scheduling and automation of persistent training environments
45
46 Date: 2018-06 — 2022-11
47 Origin: Remote
48
49 Full Stack Engineer @ Financial Investment Group
50 Sole engineer responsible for designing, building, and deploying an entire investment analysis platform on AWS.
51 - Architected investment analysis platform using AWS ECS, EKS, and SQS for event-driven microservices, processing thousands of messages per second with Python and Redis to enable real-time predictions and automated decision-making
52 - Implemented serverless architecture with AWS Lambda, Fargate, and Step Functions via CloudFormation and CDK to run high-volume simulations cost-effectively under tight budget constraints
53 - Developed machine learning models with TensorFlow, PyTorch, and Scikit-learn in Python for market trend prediction using automated classification and reinforcement learning
54 - Built on-premises Kubernetes cluster using kubeadm on vSphere with self-managed services like RabbitMQ, PostgreSQL, and Vault, provisioned via Terraform and Ansible, to handle large workloads cost-effectively without cloud dependencies
55 - Created front-end dashboard with React.js and TypeScript for data visualization and platform control, interfacing with back-end APIs to monitor investments in real time
56 - Established CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating deployments to minimize errors and accelerate development
57 - Sole engineer on the platform end-to-end, architecting and building the entire infrastructure, back-end services, ML models, and front-end under limited budget and resources