Jordan Halterman is a distributed systems engineer and startup leader with 13–15 years of experience building cloud-native control planes, orchestration tooling, and big-data optimizers across academia, open source, and industry. As Technical Lead on Intel’s Open Edge Platform and a core architect at the Open Networking Foundation, he designed Kubernetes control plane extensions and reworked Raft-based replication to enable multi-cluster, edge-first orchestration for production telecom deployments. He co-founded Brainports after senior engineering roles at Pepperdata and a track record of shipping ONOS and μONOS improvements—including log compaction fixes and consensus enhancements in widely used projects like Atomix/copycat. His background spans low-level consensus protocols, gossip/anti-entropy designs, TLA+ specifications, and operator-driven storage management, reflecting a rare blend of formal methods and pragmatic production engineering. Known for squeezing orders-of-magnitude gains from query optimization early in his career, he pairs deep research instincts with hands-on delivery at scale. Based in California, he brings entrepreneurial grit and a history of moving bleeding-edge distributed research into resilient, operational systems.
A novel implementation of the Raft consensus algorithm
Role in this project:
Back-end Developer
Contributions:1308 commits, 383 PRs, 895 pushes in 1 year 10 months
Contributions summary:Jordan's commits focus on implementing features related to cluster configuration and managing the consistency of the replicated log in a distributed consensus algorithm implementation. They introduced changes to support the removal of leaders, allowing the cluster to dynamically adjust to failures. The code changes include modifications to the `ConfigurationResponse` and `ConfigurationRequest` classes to support handling member types and addresses.
Contributions:39 commits, 6 PRs, 5 comments in 3 years 2 months
Contributions summary:Jordan's contributions primarily focused on improving the efficiency and correctness of log compaction within various Atomix-based data structures, including `AtomixWorkQueue`, `AtomixConsistentSetMultimap`, `AtomixConsistentMap`, `AtomixDocumentTree`, and `AtomixConsistentTreeMap`. They modified code to introduce and adjust `CompactionMode` settings and incorporated the use of `SNAPSHOT` compaction mode where appropriate. Additionally, the user implemented and optimized the `AtomixAtomicCounterMap` and `AtomixConsistentMap` to improve performance and resolve a potential NPE in the flow store.
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Jordan Halterman - Senior Software Engineer at Pepperdata