Matheus M.

Maintain operations efficiency and availability by continuously improving build times, autoscaling parameters and observability using Kubernetes and Datadog.

Improve developer experience by implementing automation and 3rd party tools (Packer, ArgoCD, CLIs...).

Enforce and improve security standards by managing 3rd party penetration tests and turning reports into actionable items.

Evangelize, implement and track SRE metrics (SLIs, SLOs, SLAs).

Worked as a DevOps consultant and engineer.

Provided architectural proposals and implementation using Terraform, Kubernetes, Jenkins, and several AWS services.

Continuously met with clients to align expectations and coordinate efforts agilely.

Helped develop the internal library with production-grade Terraform code.

Support teams on infrastructure decisions and architecture.

Design and migration of several projects from pure Docker/Compose to Kubernetes (GKE).

Development and maintenance of CI/CD pipelines with Travis, Jenkins and Spinnaker.

Development of automation tools and Kubernetes operators using Bash, Python and Operator SDK.

Definition and maintenance of infrastructure as code using Terraform.

Implementation of centralized logging using the PLG stack and distributed tracing using Jaeger.

Improvement of metric monitoring and alerting using Prometheus and Grafana.

Execution of stress and scalability tests of microservices and message queues using Python scripts, collecting metrics to track system performance over time.

Documentation of technical procedures, projects, and postmortems using Confluence.

Asperathos is a platform to facilitate the deployment and control of applications running in cloud environments, providing Quality of Service (QoS) by controlling allocated resources during runtime using Kubernetes.

Developed new plugins to help reduce cloud costs while maintaining Quality of Service and processing data streams.

Refactored plugin architecture, reducing coupling between plugins and core code.

Developed integration test pipelines using Jenkins and Docker, along with unit tests with Python and Pytest.

Worked using the Scrum process with reviews, planning, and daily rituals.