Rio Kierkels
Head Of Platform Engineering
Randstad, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolRio Kierkels is a Head of Platform Engineering with 13 years of experience building resilient cloud and developer platforms from Randstad, Netherlands. He blends a strong DevOps and SRE background with roots in visual effects compositing and camera work, giving him a rare cross-disciplinary perspective on observability and pipeline automation. Rio has driven platform and consulting roles at Tribe AI, Fullstaq and Cube, and contributed to open-source tooling by adding tracing and context propagation to the Machinery async task queue to improve debugging and observability. He holds an MSc in Security and Network Engineering, applying that security-minded approach to platform reliability and distributed systems. Colleagues describe him as a pragmatic problem solver who translates complex operational challenges into developer-friendly, auditable solutions. His VFX and production experience often informs a systems-thinking approach to automating repeatable workflows under tight deadlines.
13 years of coding experience
16 years of employment as a software developer
MSc, Security and Network Engineering, MSc, Security and Network Engineering at University of AmsterdamHBO, Audio Visual, HBO, Audio Visual at Willem de Kooning
English, Dutch
Github Skills (12)
go10
opentracing10
tasks10
tracer10
trace10
async9
distributed-systems9
asynchronous9
golang8
task-queue8
rabbitmq8
amqp8
Programming languages (17)
Github contributions (5)
RichardKnop/machinery
Feb 2018 - Mar 2018
Machinery is an asynchronous task queue/job queue based on distributed message passing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 4 PRs, 23 comments in 7 days
Contributions summary:Rio primarily focused on enhancing the machinery library's functionality through the implementation of tracing capabilities. They added features for tracing tasks, including the ability to inject and extract trace contexts, annotate spans with task information, and instrument the `Task.Call` function. They also implemented *WithContext variants* of existing functions to ensure that trace context is propagated correctly. These changes aimed to improve observability and debugging capabilities within the machinery framework.
jobmessage-passingmongodbmachinerymemcached
rio/tus-rust
Nov 2015 - May 2016
Contributions:26 commits, 16 pushes, 5 branches in 5 months
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