Cloud & DevOps Systems Engineer (AWS)

Mauricio Diaz Cabrera

Systems Engineer Cloud & DevOps Specialist Phone: (52-744-***-**** Email: *********@*****.*** Location:Querétaro, México GitHub: github.com/MauDiazC Professional Summary

Computer System Engineer with over 10 years of experience in the IT field, specializing as a Cloud and DevOps Engineer with 3+ years focused on building, automating, and operating scalable cloud infrastructure on AWS. Proven expertise in Infrastructure as Code (Terraform), automation scripting using Python (Boto3), and advanced observability systems. Strong background in SRE and ITIL practices, delivering high system reliability, reducing operational overhead, and optimizing cloud FinOps.

Technical Stack

● Cloud Platforms: AWS (VPC, ECS, EC2, S3, IAM, Lambda, ElastiCache Redis, EventBridge, Target Groups, ALB), basic GCP.

● Infrastructure as Code & Automation: Terraform, Python (Boto3), Node.js, PHP, Linux.

● DevOps & CI/CD: Docker, Git, Azure DevOps, Repositories (ECR), Apache Kafka.

● Observability & Data: Dynatrace, Neo4j (Graph Databases). Professional Experience

Grupo Salinas — México

DevOps / Cloud Supervisor 2024 – Present

● Operational Workflow & Architecture Management:

Coordinate a dual-shift operational strategy: manage change scheduling and cloud infrastructure deployment planning during the day, and supervise high-stakes, seamless change execution windows at night following strict ITIL guidelines.

Design, configure, and maintain robust AWS networking architectures, including custom VPCs, CIDR blocks, Route Tables, and fine-grained Security Groups inbound/outbound rules.

● Infrastructure as Code (IaC) & Containerization:

Provision and manage ECS container clusters and configure Task Definitions using both AWS Console and reusable Terraform templates.

Manage container lifecycles by building, tagging, and pushing Docker images to Amazon ECR, and orchestrating traffic routing via Application Load Balancers

(ALB) and dynamic Target Groups for ECS and EC2 instances.

● Automation, Security & FinOps:

Develop system auditing and cloud governance automation scripts using Python

(Boto3) to reduce manual intervention and enforce FinOps practices.

Architect and deploy automated, immutable backup strategies for RDS and DynamoDB (Mongo) using ephemeral EC2 instances, triggered by AWS Lambda and orchestrated via EventBridge schedules (implemented via Terraform).

Optimized S3 storage costs by engineering an automated solution to strip hidden Delete Markers, significantly lowering hidden cloud expenses.

Administer enterprise IAM infrastructures, including users, groups, custom roles, and least-privilege access policies.

● Observability & Reliability:

Monitor mission-critical applications using Dynatrace, dramatically improving incident detection, root-cause analysis, and Mean Time to Resolution (MTTR).

Built an observability decision engine utilizing Python + Neo4j to predict infrastructure anomalies and mitigate risks during production change windows. Softtek — México

SCM Engineer 2022 – 2024

● Managed high-volume change workflows (~25 daily deployments) leveraging Git and Azure DevOps pipelines.

● Implemented complex branching strategies and strictly enforced Definition of Done

(DoD) to ensure continuous release quality.

● Coordinated multi-team production deployment windows, reducing service disruption to minimal levels.

Techconecta — México

IT Coordinator 2020 – 2021

● Designed core operational processes for hardware assembly, technical testing, and regional distribution.

● Improved service tracking systems and optimized customer delivery workflows. Pegatron Technology Service Inc. — USA

Process Engineer 2009 – 2016

● Developed high-standard repair and refurbishment processes for consumer electronic devices.

● Led, mentored, and trained cross-functional, multicultural technical teams in fast-paced environments.

Key Projects

● AWS Observability Decision Engine (Python, Boto3, Neo4j)

GitHub: github.com/MauDiazC/aws_observability_decision_engine

Built a predictive graph-database system using Neo4j to model infrastructure dependencies and streamline risk-assessment during change windows.

● S3 Cost Optimization Tool (Python, Boto3)

GitHub: github.com/MauDiazC/s3_delete_marker

Developed an automated script that scans and purges unneeded S3 Delete Markers, eliminating redundant cloud storage overhead.

● Survey NoDB - SRE Feedback System (Python)

GitHub: github.com/MauDiazC/survey_nodb

Designed a lightweight, post-deployment feedback loop between Dev and Ops teams to capture and measure operational metrics and service delivery quality. Education

● M.Sc. in Computer Systems Instituto Tecnológico de México (2021)

● B.Sc. in Computer Systems Instituto Tecnológico de México (2008) Languages & Certifications

● Spanish: Native

● English: Proficient (TOEFL Score: 543 – Universidad Anáhuac de Puebla)

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