Jorge Otoya

Staff Software Engineer at Aiven

Helsinki, Mainland Finland
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Summary

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Jorge Otoya is a Staff Software Engineer based in Helsinki with 12 years of experience building and operating event-driven, distributed systems. He combines deep backend engineering with DevOps expertise, having contributed to high-profile open-source projects such as Apache Kafka and Zipkin—where he implemented Kafka Streams support, consumer offset reset tooling, and health checks for collectors. At Confluent and Aiven he bridged solutions architecture and hands-on engineering, improving monitoring, deployment automation (Ansible), and dependency management for streaming platforms. His work often focuses on production reliability and observability, evidenced by Prometheus/Grafana integrations and tracing improvements in Brave and Zipkin. Fluent in managing both code and infrastructure, he brings a pragmatic, cross-functional approach to complex streaming challenges. A less obvious strength: he pairs protocol-level changes with UX touches like UI translations, showing attention to both system internals and user-facing details.
code12 years of coding experience
job5 years of employment as a software developer
bookBachiller Ingeniería de Computación y Sistemas, Bachiller Ingeniería de Computación y Sistemas at Universidad de San Martín de Porres
languagesEnglish
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Stats
441reputation
38kreached
15answers
0questions
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Github Skills (39)

kafka-connect10
confluent10
docker10
observability10
distributed-tracing10
kafka10
grafana10
dockers10
kafka-streams10
java10
scala10
javas10
prometheus10
ansible10
ansible-galaxy10

Programming languages (22)

C#JavaJinjaCSSScalaMakefilePLpgSQLVue

Github contributions (5)

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📊 Monitoring examples for Confluent Cloud and Confluent Platform
Role in this project:
userDevOps Engineer
Contributions:7 reviews, 74 commits, 42 PRs in 1 year 4 months
Contributions summary:Jorge focused on improving the monitoring capabilities within the repository, specifically related to JMX exporting and Prometheus/Grafana integration for Confluent Platform. They made modifications to Ansible templates for Prometheus configuration, including adding relabeling configurations and fixing job names. They also addressed version updates, and updated security file creation scripts. This involved interaction with technologies like Ansible, Prometheus, Grafana, and potentially the Confluent Platform itself.
confluent-cloudconfluent-platformmonitoringkafkaprometheus
openzipkin/brave

Aug 2018 - Jun 2022

Java distributed tracing implementation compatible with Zipkin backend services.
Role in this project:
userBack-end Developer
Contributions:7 releases, 29 reviews, 86 commits in 3 years 11 months
Contributions summary:Jorge contributed significantly to the `brave` Java distributed tracing implementation, focusing on integrating with and updating Kafka clients. Their work involved modifying the `TracingConsumer` and `TracingProducer` classes, adding support for new Kafka client versions, and adding tests for Kafka Streams. They also implemented Kafka Streams support by adding new methods and classes, along with addressing deprecation warnings.
backenddistributed-tracingjavazipkintracing
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