Accustomed to work on terminal, I have experience with Linux, Windows and Mac OS, but on production mostly on Unix-like servers and bash/make scripting. Advanced knowledge about networking practises, both on-premise and on cloud.

Terraform/OpenTofu usage to handle Infrastructure as Code, with some knowledge of Terragrunt to handle infra environments.

SLO Monitoring experience using Datadog+Opsgenie stack, and a bit of NewRelic and GCP Monitoring.

Advancing Experience maintaining Kubernetes cluster, including jobs, request authorization, monitoring integration, etc.

+4y of experience in interpreate languages using on web development, both Python & Ruby. I have experience with Django and Flask and Ruby on Rails frameworks as well.

+5y of experience on JVM-based languages: Java 8, 11, 17; Scala 2.X and Kotlin. I have experience with Spring Boot and http4s frameworks as well.

Also experience using maven, sbt, gradle and poetry to handle dependencies across multiple stacks.

Heavier experience with BigQuery and BigTable databases. Advanced knowledge of SQL, data management practices.

Experience with Apache Spark and Apache Airflow as well.

Experienced in GCP stack, focused on data computation and high availability and performance. Also in AWS stack, but mainly oriented to batch jobs, infrastructure and monitoring.

+3y handling 4person teams and +1y handling 20+ person teams with multiple initative involving.

I have experience with Scrum and Kanban methodologies as well.

I have experience with Jira and Trello as well.