Marc Oppenheimer
Senior Software Engineer at Canonical
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMarc Oppenheimer is a Senior Software Engineer with six years’ experience building production-grade data and ML systems, currently shaping unified recommendation and ML practices at Canonical after impactful work at the BBC. He has delivered high-throughput, low-latency recommender pipelines on GCP—serving 70M weekly requests and cutting costs by £720K/year—while partnering closely with data scientists to productionise models and expose real-time data streams. Comfortable across Apache Beam, Airflow, Kubernetes, Redis and Terraform, Marc focuses on reliable, scalable architectures that lower barriers to experimentation and operationalise ML. He combines a physics MSci background with a pragmatic belief that technical problems are often human problems, and he enjoys translating stakeholder needs into resilient engineering solutions. An experimental thinker, he has a track record of replacing third-party systems with in-house solutions that both improve metrics dramatically and reduce vendor spend.
6 years of coding experience
3 years of employment as a software developer
MSci Physics, Physics, MSci Physics, Physics at University of Birmingham
English
Github Skills (86)
standardized10
operator10
kafka10
data-platform10
charm10
k8s-operator10
apache-kafka10
gnome-shell10
logging10
validation9
linux9
snap9
githubaction-workflow9
opensearch9
zookeeper9
Programming languages (9)
Github contributions (5)
canonical/kafka-operator
Apr 2022 - Jun 2026
Charmed Apache Kafka Operator
Contributions:551 reviews, 154 PRs, 461 pushes in 4 years 3 months
apache-kafkaoperatordata-platformkafkacharm
canonical/kafka-k8s-operator
Mar 2022 - Jan 2023
Charmed Apache Kafka K8s Operator
Contributions:187 reviews, 64 commits, 76 PRs in 10 months
apache-kafkak8s-operatordata-platformkafkacharm
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