David Brimley
Director Of Product Management at Algolia
Epping Forest, England, United Kingdom
Summary
🤩
RockstarDavid Brimley is a seasoned product leader and distributed-systems engineer with over three decades in software, currently directing product for Elasticsearch Datastore at Elastic where he drives serverless, vector DB, and Generative AI initiatives. He blends deep technical experience with strategic product leadership—having shaped IMDG, streaming, cloud services and go-to-market alignment at Hazelcast while growing product teams from one to nine. Hands-on with core code early in his career, he’s contributed to the widely used Hazelcast open-source project, improving permissioning logic and developer samples for real-time data platforms. Known for servant leadership, he aligns engineering, product and executive teams to deliver measurable bottom-line impact for Fortune 500 customers across cloud and on-prem deployments. Comfortable translating low-latency, high-throughput systems into product strategy, he’s equally at home debating Kafka, Flink and JVM concurrency or briefing C-suite stakeholders on technical trade-offs. Based in Epping Forest, UK, he combines practitioner-level technical depth with a track record of shipping enterprise-grade distributed systems at scale.
12 years of coding experience
29 years of employment as a software developer
Stackoverflow
216reputation
14kreached
4answers
1question
Github Skills (20)
caching10
hazelcast10
distributed-systems10
data-structure10
java10
security10
distributed-computing10
javas10
data-structures10
big-data9
amazon-ec29
stream-processing9
configuration-management8
geode6
ignite6
Programming languages (14)
Github contributions (5)
hazelcast/hazelcast-code-samples
Jul 2014 - Mar 2019
Hazelcast Code Samples
Role in this project:
Back-end Developer
Back-end DeveloperContributions:46 commits, 17 PRs, 8 pushes in 4 years 8 months
Contributions summary:David contributed to the Hazelcast code samples repository by implementing and validating functionality related to data structures and integrations. They added code to demonstrate eviction in a distributed map, showcasing the use of Hazelcast for managing large datasets. Furthermore, the user worked on integrations, creating and validating a Hazelcast integration for Amazon EC2, including configuration files and attributes. They also added code demonstrating the use of a ring buffer.
hazelcast
hazelcast/hazelcast
Apr 2014 - Feb 2018
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Role in this project:Back-end Developer
Back-end DeveloperContributions:36 commits, 9 PRs, 15 pushes in 3 years 11 months
Contributions summary:David primarily contributed to the core Hazelcast codebase, focusing on the implementation and refinement of permissioning logic. Their work involved bug fixes related to bitwise operations within permission classes, specifically `MapPermission`, `ReplicatedMapPermission`, `QueuePermission`, `ListPermission`, `CountDownLatchPermission`, `TopicPermission`, `LockPermission`, `SemaphorePermission`, `AtomicReferencePermission`, and `AtomicLongPermission`. Additionally, the user addressed inconsistencies in other Hazelcast classes, and updated JavaDoc documentation across various interfaces.
data-platformhazelcaststream-processingjavain-memory
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