Jordan Halterman is a Senior Software Engineer with 12 years of experience specializing in backend and distributed systems, building cloud-native, data-centric applications and orchestration for edge and network infrastructure. He has led and rearchitected core distributed components—rewriting Raft implementations and creating a cloud-native Atomix-based database platform used in ONOS/μONOS—and contributed to DARPA’s Pronto effort to make future networks more scalable, reliable, and secure. At Intel he designed Kubernetes control-plane extensions for the Open Edge Platform to orchestrate workloads across distributed edge infrastructure, and his open-source contributions include practical fixes like leader-removal support and SNAPSHOT-based log compaction to harden replicated logs. Now at Pepperdata, he blends research-grade systems thinking with production engineering, often surfacing subtle fault-tolerance and performance fixes (for example preventing NPEs in flow stores) that improve real-world reliability. Based in California, he thrives at the intersection of academia, open source, startups, and enterprise engineering, favoring pragmatic, auditable solutions to hard distributed-systems problems.
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