Resume

Jonathan de Matos

Computer Engineer

Email
jonathanlucasm@proton.me
GitHub
github.com/jonathanlm

Summary

Computer Engineer focused on Platform Engineering, DevOps, and Site Reliability Engineering, with strong experience designing and operating cloud infrastructure, Kubernetes platforms, CI/CD systems, observability stacks, identity integrations, and HPC environments. Experienced in AWS-based infrastructure, Infrastructure as Code, Linux systems, networking, security, and production troubleshooting. Combines infrastructure ownership with software engineering skills to build reliable, scalable, and secure systems, with previous experience in full-stack development, IoT systems, and applied machine learning for healthcare and agriculture.

Core Specializations

Kubernetes Platforms, AWS Infrastructure, Platform Engineering, DevOps/SRE, CI/CD Automation, Infrastructure as Code, Observability, Infrastructure Security, Identity & Access Management, HPC/Slurm, Production Troubleshooting, High Availability, Disaster Recovery

Skills

  • Cloud and Containers: AWS (EKS, EC2, ALB/NLB, Route 53, ACM, Lambda), GCP (GKE), Docker, Kubernetes, Helm
  • Infrastructure and Operations: Linux, networking, NGINX, Traefik, AWS CDK, Terraform, Ansible, GitOps, backup and recovery, disaster recovery, high availability, production troubleshooting
  • DevOps and Security: CI/CD (GitHub Actions, GitLab CI, Tekton, Chef, Jenkins, Argo CD), IAM, least-privilege access control, vulnerability scanning, secrets management (SOPS, Vault), autoscaling, reliability engineering, infrastructure hardening
  • Observability: Prometheus, Grafana, Loki, ELK, OpenTelemetry, metrics, alerting, and tracing
  • Data and Messaging: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Kafka, VerneMQ, RabbitMQ
  • Languages: Python, Go, TypeScript, Node.js, Java, C, C++, Elixir, Bash
  • Additional Technologies: React, GraphQL, Keycloak, cert-manager, ACME, Slurm HPC, ESP-IDF, FastAPI, Strawberry GraphQL, SQLAlchemy, SonarQube, OpenLDAP, LXD/LXC

Experience

Vantage Compute — DevOps Engineer

June 2022 – Present

  • Design, provision, and maintain Linux servers and AWS cloud infrastructure using Infrastructure as Code, primarily with AWS CDK.
  • Build and operate scalable compute environments, including Slurm-based clusters for batch and HPC workloads.
  • Manage platform components across EC2, VPC, IAM, networking, storage, ingress, TLS, and automation with a focus on reliability, cost efficiency, and operational simplicity.
  • Implement CI/CD pipelines, configuration management, monitoring, and backup/disaster recovery routines for production systems.
  • Support secure and scalable infrastructure design by applying IAM best practices, automation, and operational controls.
  • Troubleshoot production issues across cloud services, containers, networking, authentication flows, reverse proxies, and deployment pipelines.
  • Contribute to product development through backend APIs and tooling in Python, as well as lightweight React front ends for internal dashboards and customer-facing features.
  • Help bridge the gap between infrastructure and application teams by translating platform requirements into practical engineering solutions.
  • Enabled the delivery of new platform capabilities and customer-facing features by improving infrastructure reliability, automation, and operational scalability.

Pollum — DevOps Engineer

Aug 2020 – June 2022

  • Built and operated production systems with a strong focus on low latency, high availability, performance, and security.
  • Developed reusable, testable code and scalable services for cloud-based environments.
  • Designed database schemas and loading pipelines to support production workloads.
  • Implemented CI/CD workflows and infrastructure controllers to improve deployment consistency and reduce manual operational effort.
  • Monitored cloud environments to detect and respond to anomalies across caches, load balancers, and queues.
  • Performed database migrations and supported feature delivery from specification through release.
  • Helped enforce code quality standards, branching strategies, access control policies, and security best practices across multiple codebases.
  • Executed load and stress testing of application servers to validate performance and operational readiness.
  • Increased engineering productivity while improving reliability and reducing infrastructure costs through automation, monitoring, and operational standardization.

PDA Soluções — Software Engineer (Freelancer)

Oct 2019 – Aug 2020

  • Delivered web and mobile applications for logistics and maintenance operations.
  • Built front ends with React and React Native using Redux for state management.
  • Designed and implemented back-end APIs with TypeScript and Node.js.
  • Integrated PostgreSQL and SQL Server data models into production applications.
  • Focused on clean, testable code, responsive UI development, efficient queries, and secure authentication and authorization.
  • Worked directly with stakeholders to translate business requirements into reliable, production-ready features.
  • Built features that improved day-to-day usability for end users and gave client companies better visibility into operations, productivity, and costs.

MedCloud — Intern (Full-Stack)

Nov 2019 – Aug 2020

  • Contributed across the stack to a healthcare product using serverless services on AWS Lambda with JavaScript and Go.
  • Built GraphQL back ends and React/Redux front ends.
  • Modeled and integrated data across MySQL (RDS) and DynamoDB.
  • Implemented endpoints and resolvers and supported packaging and deployment workflows.
  • Contributed to basic monitoring and technical documentation, with emphasis on performance, correctness, and maintainability.
  • Contributed to sales growth by implementing new product features, especially integrations with city hall systems.

Selected Projects

  • HPC Cluster Provisioning Platform: Designed and automated infrastructure workflows for provisioning and operating Slurm-based compute clusters across AWS and manually managed environments. Worked on cluster onboarding, automation routines, and batch/HPC operational workflows for scalable compute platforms.
  • Identity and Access Integrations: Implemented and maintained authentication and authorization workflows involving OpenLDAP, Keycloak, JupyterHub, and backend services. Worked on token handling flows, multi-tenant identity architecture considerations, and migration planning for production identity systems.
  • Kubernetes Platform Operations: Operated and extended Kubernetes-based production environments with ingress, TLS, DNS, observability, CI/CD integrations, and reverse proxy configurations. Troubleshot production issues related to containers, networking, deployment behavior, and cloud connectivity.
  • Certificate Automation: Built custom ACME and Let's Encrypt automation flows in Python, including controlled challenge handling integrated with infrastructure and load balancer behavior.
  • GraphQL and Backend Testing Workflows: Developed and tested APIs using FastAPI, Strawberry GraphQL, async SQLAlchemy, pytest, and mock-based testing strategies. Worked on reliable backend patterns for cloud-native services and internal tooling.
  • Infrastructure Migration and Operations Support: Supported infrastructure migrations, database-related operational workflows, containerized deployments, reverse proxy troubleshooting, and secure access patterns across Linux and cloud-hosted environments.

Personal Projects

  • Local AI and Generative Media Workflows: Explored local and privacy-focused AI workflows for image and video generation, including experimentation with ComfyUI and self-hosted model execution.
  • Automation and Bot Development: Built and designed automation-focused personal projects involving Python, media handling, deduplication logic, and workflow automation concepts.
  • Infrastructure and Platform Experiments: Worked on personal studies and prototypes involving Kubernetes, authentication systems, reverse proxies, cloud automation, and Linux-based deployment patterns.

Education

Ponta Grossa State University — Computer Engineering

January 2017 – June 2022

During my undergraduate studies, I conducted applied research in machine learning and AI for healthcare and agriculture. My work included building and validating classification and regression models for clinical decision support and crop monitoring using Python, pandas, scikit-learn, and TensorFlow. I was responsible for data collection and cleaning, feature engineering, and reproducible experimentation in collaboration with multidisciplinary teams.

Leadership & Volunteering

  • Director of Sales - E²C Junior Enterprise (2020)
  • Full-Stack Developer - E²C Junior Enterprise (2020)
  • Finance Coordinator - UEPG Computer Engineering Student Association (2019)