Jorge Ejarque

Software Engineer at Seqera

Barcelona, Catalonia, Spain
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Summary

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Jorge Ejarque is a seasoned software engineer with 12 years of experience specializing in distributed computing, cloud integration, and resilient pipeline engines. Based in Barcelona, he combines deep research credentials (PhD-level work in computer architecture) with pragmatic software delivery from long stints at Barcelona Supercomputing Center and now Seqera. He has designed and implemented tools for clusters, grids and clouds, and contributed notable backend and DevOps fixes to the popular Nextflow pipeline engine—improving retry policies, serialization, and cloud job integrations like Google Batch. Comfortable bridging research and production, he brings expertise in high-productivity programming models, semantic deployment automation, and robust error handling for large-scale data workflows. An understated strength is his consistent involvement in EU research projects, giving him rare domain knowledge in both academic and industrial distributed systems.
code11 years of coding experience
job19 years of employment as a software developer
bookUPC Universitat Politècnica de Catalunya
bookMSc Final Thesis Wireless Mobile Communications, MSc Final Thesis Wireless Mobile Communications at Delft University of Technology
languagesEnglish, Spanish, Catalan
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112answers
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Github Skills (25)

groovy10
cloud-infrastructure10
workflow-engine10
pipeline-framework10
devops10
apache9
google-cloud-platform9
gcp9
php9
docker8
dockers8
reproducible-science7
dataflow7
reproducible-research7
dataflow-programming7

Programming languages (11)

JavaC++ShellBatchfileSCSSGoHTMLGroovy

Github contributions (5)

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nextflow-io/nextflow

Sep 2024 - Apr 2025

A DSL for data-driven computational pipelines
Role in this project:
userBackend Developer & DevOps Engineer
Contributions:109 reviews, 43 PRs, 158 pushes in 6 months
Contributions summary:Jorge's contributions primarily involve enhancements and bug fixes to the core functionality of the Nextflow pipeline engine. They implemented features like retry policies for SRA data retrieval, addressed serialization issues, and resolved issues related to stub execution. Additionally, the user worked on integrating with external services, such as Google Batch, and fixing associated bugs, demonstrating skills in cloud integration and job management. They also worked on improving the robustness and error handling of the pipeline engine.
singularity-containersbioinformaticsawsdataflowslurm
bsc-wdc/compss

Mar 2018 - Nov 2022

COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
Contributions:7 releases, 957 commits, 2 pushes in 4 years 9 months
pythonclusterscompssslurmpipeline-framework
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Jorge Ejarque - Software Engineer at Seqera