Francisco Moreno

Sr. Site Reliability Engineer

Green Dot Corporation

May 2024 - Present

Deloitte

Full-time position

• Orchestrated migration from AWS EC2 to EKS and Azure AKS, achieving 50% cost savings while scaling to 80M+ users.
• Integrated ArgoCD and GitOps workflows to prevent IaC bugs, reduce downtime, and improve deployment reliability.
• Maintained ~99.99% service availability across LOBs, keeping error budget consumption consistently within SLO targets.
• Directed observability initiatives with Octopus CD + Datadog, cutting incident detection time from minutes to seconds.
• Building LLM-powered release automation agents for release engineering tasks to reduce manual effort by up to 70%.

Stack: Python, Bash, PowerShell, Terraform, Ansible, ArgoCD, Octopus Deploy, TeamCity, Azure DevOps, Azure AKS, Blobs, AppConfig, Kubernetes, Docker, Helm, AWS EKS, EC2, ALB, Certificate Manager, Route53, GitHub, LangChain, n8n, Linux Ubuntu/CentOS

Research Student

Universidad Internacional de la Rioja (UNIR)

Nov 2024 - Apr 2025

• Developed a predictive workload system for Kubernetes using an AI agent. By evaluating deep learning models such as LSTM, GRU, and Prophet, we managed to reduce the constant overprovisioning of resources for a Deployment, aiming at cloud resource optimization.

Stack: Python, FastAPI, TensorFlow, Pandas, Numpy, Matplotlib, Seaborn, Kubernetes, Helm, DigitalOcean, Prometheus, Grafana

Site Reliability Engineer

The Smart Factory

Aug 2023 - Apr 2024

Deloitte

Project contractor

• Built a large-scale OTA system for thousands of Autonomous Mobile Robots (AMRs), enabling seamless fleet management.
• Eliminated 100% of manual update time per robot, achieving fully automated and scalable OTA deployments.
• Architected API-driven design for integration with MES systems, supporting mass production and long-term maintenance.

Stack: Python, Terraform, AWS EC2, S3, RDS, MQ, Route53, CloudWatch, GitHub Actions, Ansible, Docker, GitHub, AWS ALB, Bash, Linux Ubuntu

Site Reliability Engineer

Zoox

Feb 2023 - Aug 2023

Deloitte

Project contractor

• Designed and delivered an OTA system for autonomous vehicles’ MCUs, ensuring reliable vehicle-to-cloud telemetry.
• Integrated OTA with Manufacturing Execution Systems (MES) for production tracking and inventory management.
• Built CI/CD pipelines with GitHub Actions, Terraform, and Ansible for automated deployments and infra management.

Stack: Python, Terraform, AWS EC2, S3, RDS, MQ, Route53, CloudWatch, GitHub Actions, Ansible, Docker, GitHub, AWS ALB, Bash, Linux Ubuntu

Site Reliability Engineer

Deloitte

Nov 2022 - Present

• Built an OTA software update system for Autonomous Mobile Robots (AMRs) at The Smart Factory (a Deloitte, Amazon, and SAP initiative), enabling reliable and scalable fleet management.
• Architected end-to-end AWS cloud solutions for Fortune 500 companies, delivering projects for The Smart Factory, Zoox, and GreenDot through Deloitte.
• Provided global technical consultation and mentorship, shaping Deloitte’s IoT portfolio strategy.

Stack: Python, Terraform, AWS EC2, S3, RDS, MQ, Route53, CloudWatch, GitHub Actions, Ansible, Docker, GitHub, AWS ALB, Bash, Linux Ubuntu, Bash, PowerShell, ArgoCD, Octopus Deploy, TeamCity, Azure DevOps, Azure AKS, Blobs, AppConfig, Kubernetes, Helm, AWS EKS, ALB, Certificate Manager, Route53, LangChain, n8n, Linux Ubuntu/CentOS

Jr. Software Engineer

Allegion

Jan 2022 - Oct 2022

• Integrated an Autonomous Mobile Robot (MiR100) with production lines, reducing material transfer time.
• Developed a cloud-based time-tracking system hosted on AWS, integrated with modular hardware.
• Built presence and andon monitoring systems for AMRs, improving operational efficiency.
• Collaborated on computer vision solutions for unit detection in manufacturing.

Stack: Python, C++, AWS, GitHub, FastAPI, TensorFlow, Pandas, Numpy, Matplotlib, Seaborn,NI TestStand, NI LabView, PLC, Sensors

Jr. Software Engineer

UNAM

Apr 2021 - Jan 2022

• Led a small engineering team
• Developed an integration for a legacy sputtering machine for semiconductors
• Remote control and monitoring via web

Stack: C++, Python, Flask, AWS, STM32 SoC Board

Microsoft Certified: Azure Fundamentals

ID: 2b19841b263c3308

TOEFL iTP Certified

ID:

Universidad Internacional de la Rioja (UNIR)

2023 - 2025

Universidad Autónoma de Baja California (UABC)

2017 - 2022

Kapetanios - Kubernetes Deployments: Proactive Optimization with Machine Learning

Cloud Automation, Kubernetes, Machine Learning, Deep Learning, Python, Data Science, Open Source

2025

• Smart Scaling: Dynamically adjusts the number of replicas for each Deployment based on real-time data.
• AI Agent-Driven: Ensures optimal resource allocation and system performance.
• Kubernetes-Ready: Seamlessly integrates with Kubernetes to enhance container orchestration.
• GitHub Repository
• Kubernetes Deployments: Proactive Optimization with Machine Learning (Thesis)