Daniel Lopes
Principal Software Engineer at Grafana Labs
Ourense, Galicia, Spain
Summary
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RockstarDaniel Lopes is a Principal Software Engineer with 11 years of experience, now focused on advancing Grafana k6 and observability tooling at Grafana Labs. He brings deep backend expertise in Go and distributed systems, having improved logging, tracing, and performance across high-profile open-source projects like k6, Tempo, and detect-secrets. His work spans reliability, security, and developer experience—refactoring command templates, integrating Loki/Redis caching, and hardening secret detection for enterprise use. A pragmatic engineer who rose through SRE and senior roles at Grafana, he pairs production-minded edits with contributions that measurably improve metrics and stability. Based in Ourense, Galicia, he combines hands-on coding with product-aware engineering, often tackling subtle edge cases that reduce operational friction for large-scale users.
11 years of coding experience
5 years of employment as a software developer
Spanish, Galician, English, Portuguese
Stackoverflow
1reputation
302reached
0answers
2questions
Github Skills (41)
kubernetes10
performance-monitor10
python10
redis10
loadtest10
distributed-tracing10
gcp10
security10
regular-expression10
prometheus10
go10
performance-analysis10
kubernetes-pods10
golang10
backend10
Programming languages (9)
Github contributions (5)
grafana/tempo
Oct 2020 - Jul 2022
Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
Role in this project:
Backend Developer
Backend DeveloperContributions:127 reviews, 29 commits, 31 PRs in 1 year 8 months
Contributions summary:Daniel primarily contributed to the backend functionality of the Grafana Tempo project, a distributed tracing backend. Their work included fixing build-related issues, adding warnings for suspect configurations to improve stability, and increasing Prometheus metrics related to trace retrieval. Furthermore, the user refactored code, renamed configuration parameters, and added support for Redis caching and a per-tenant bytes counter, highlighting a focus on performance and efficiency. Their contributions also included refactoring and debugging the Vulture component.
opentelemetrytracingtempovolumebackend
powerfulseal/powerfulseal
Apr 2019 - Jun 2020
A powerful testing tool for Kubernetes clusters.
Role in this project:Backend Developer
Backend DeveloperContributions:59 commits, 26 PRs, 70 comments in 1 year 2 months
Contributions summary:Daniel primarily contributed to the backend functionality of the Kubernetes testing tool. They updated dependencies, specifically for Flask and requests. Additionally, the user implemented version tracking and display features, and addressed input compatibility and YAML loading issues. The user also added the GCP cloud driver, including related testing and documentation.
clusterstestingkubernetes-clusterskubernetesopenstack
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