Matheus M.
Senior DevOps Engineer
I am a seasoned DevOps Engineer with over six years of extensive experience in optimizing operations, enhancing security, and automating processes. I specialize in Kubernetes, Docker, Terraform, and various CI/CD tools, and I have extensive knowledge and expertise in multi-cloud environments, including AWS and GCP.
Additionally, I possess excellent people management skills, enabling me to lead teams effectively and foster collaborative environments. My background equips me to deliver efficient and scalable solutions while maintaining a strong focus on security and operational excellence.
Main expertise
- Kubernetes 6 years
- Google Cloud 6 years
- AWS 6 years
Other skills
Selected experience
Employment
Lead DevOps Engineer
Flipgive - 3 years 3 months
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Maintain operations efficiency and availability by continuously improving build times, autoscaling parameters and observability using Kubernetes and Datadog.
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Improve developer experience by implementing automation and 3rd party tools (Packer, ArgoCD, CLIs...).
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Enforce and improve security standards by managing 3rd party penetration tests and turning reports into actionable items.
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Evangelize, implement and track SRE metrics (SLIs, SLOs, SLAs).
Technologies:
- Technologies:
- Kubernetes
- Google Cloud
- AWS
- DevOps
- CircleCI
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DevOps Consultant
Caylent - 3 months
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Worked as a DevOps consultant and engineer.
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Provided architectural proposals and implementation using Terraform, Kubernetes, Jenkins, and several AWS services.
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Continuously met with clients to align expectations and coordinate efforts agilely.
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Helped develop the internal library with production-grade Terraform code.
Technologies:
- Technologies:
- Kubernetes
- AWS
- DevOps
- Terraform
-
Site Reliability Engineer
Nuveo - 1 year 3 months
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Support teams on infrastructure decisions and architecture.
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Design and migration of several projects from pure Docker/Compose to Kubernetes (GKE).
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Development and maintenance of CI/CD pipelines with Travis, Jenkins and Spinnaker.
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Development of automation tools and Kubernetes operators using Bash, Python and Operator SDK.
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Definition and maintenance of infrastructure as code using Terraform.
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Implementation of centralized logging using the PLG stack and distributed tracing using Jaeger.
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Improvement of metric monitoring and alerting using Prometheus and Grafana.
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Execution of stress and scalability tests of microservices and message queues using Python scripts, collecting metrics to track system performance over time.
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Documentation of technical procedures, projects, and postmortems using Confluence.
Technologies:
- Technologies:
- AWS
- DevOps
- Python
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Education
BSc.Computer Science
Universidade Federal de Campina Grande · 2012 - 2017
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