Ciaran Sweet is a Cloud Engineer with 10 years’ experience building serverless, scalable data platforms and geospatial tooling used by organizations like NASA and the UK Government. He combines deep Python and Java skills with AWS and IaC expertise to turn global-sized Earth Observation datasets into production-ready, cloud-optimised pipelines and developer-friendly services. As an engineering manager and technical lead he has grown and coached distributed teams, improved hiring and onboarding processes, and introduced engineering practices that accelerate delivery. He maintains quality in open-source projects—contributing to the widely used Chaos Toolkit by streamlining its CLI and developer workflows—and often bridges data science, DevOps, and product to ship pragmatic solutions. Based in Bristol, he thrives on turning complex remote collaborations into reliable, maintainable systems that make geospatial data accessible to scientists and decision-makers.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, First Class with a Certificate of Professional Industrial Experience, Bachelor of Science (B.Sc.), Computer Science, First Class with a Certificate of Professional Industrial Experience at University of Plymouth
Maths, Physics and Biology, Maths (C) Physics (D) Biology (B) Further Maths AS (C) ICT AS (B), Maths, Physics and Biology, Maths (C) Physics (D) Biology (B) Further Maths AS (C) ICT AS (B) at Secondary Education The Forest School
Chaos Engineering Toolkit & Orchestration for Developers
Role in this project:
Backend & DevOps Engineer
Contributions:14 reviews, 17 commits, 14 PRs in 16 days
Contributions summary:Ciaran primarily contributed to the project by bumping the software version, fixing minor text errors, and applying code formatting and style improvements using tools like `black`, `flake8`, and `isort`. They also updated the project's build process by applying `pyupgrade`. These actions suggest a focus on maintaining the project's quality and stability, while also ensuring compatibility and code consistency. This included changes to the command-line interface.
pangeo-forge bakery for running pangeo-forge recipes on AWS
Contributions:22 reviews, 4 commits, 11 PRs in 3 months
recipesbakerykubernetespangeoaws
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