Brad Deam
Senior Performance Engineer at Elastic
Adelaide, South Australia
Summary
🤩
Rockstar🎓
Top SchoolBrad Deam is a Principal Software Engineer based in Adelaide with six years of experience specializing in performance engineering, SRE, and multicloud Kubernetes infrastructure at Elastic. He couples deep systems knowledge—particularly around Elasticsearch and Elastic Cloud—with hands-on DevOps and backend development, contributing notable improvements to the widely used elastic/rally benchmarking framework and cross-cluster search tooling. Brad’s background spans storage and large-scale infrastructure projects, incident response, and building monitoring platforms, giving him a pragmatic focus on reliability and observability. Known for surfacing actionable performance insights (and an affinity for “looking at graphs”), he brings both customer-facing troubleshooting experience and low-level engineering to complex distributed systems.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Information Technology (Honours) (Enterprise Business Solutions), Information Technology, Bachelor of Information Technology (Honours) (Enterprise Business Solutions), Information Technology at University of South Australia
English
Github Skills (20)
docker10
python10
amazon-elasticsearch10
dockers10
elasticsearchquery10
aws-elasticsearch10
elasticsearch10
devops10
telemetry10
elasticsearch-api10
cicd9
pytest9
build-automation7
kubernetes-pods6
git6
Programming languages (8)
Github contributions (5)
elastic/rally
Jun 2021 - Jan 2023
Macrobenchmarking framework for Elasticsearch
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1 release, 174 reviews, 37 commits in 1 year 7 months
Contributions summary:Brad primarily contributed to improving the `elastic/rally` framework by addressing bugs and enhancing its functionality. They made several code changes to the telemetry devices and related configurations, including adding a data streams telemetry device. The user also worked on fixing the composable templates runner and the bulk index stats, and ensuring the program correctly handles SIGINT, returning a specific exit code. In addition, they added a new subcommand to build Elasticsearch and plugins.
benchmarkbenchmarkingelasticsearch
elastic/rally-tracks
May 2022 - Jan 2023
Track specifications for the Elasticsearch benchmarking tool Rally
Role in this project:DevOps Engineer
DevOps EngineerContributions:45 reviews, 8 commits, 30 PRs in 7 months
Contributions summary:Brad focused on enhancing the cross-cluster search (CCS) capabilities within the Elasticsearch benchmarking tool, Rally. Their contributions include adding detailed results to CCS workflows and creating a new snapshot-based CCS challenge. They introduced a `MultiClusterWrapper` runner to execute operations across multiple clusters, demonstrating a deep understanding of distributed systems and deployment strategies. The changes also encompass adjustments to the configuration of remote clusters, specifically related to seed node retrieval and connection management for cross-cluster replication (CCR).
benchmarkingrallyspecificationselasticsearch
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