Sr. Open Source Software Engineer (Kafka) Job Details | NetApp, Inc.

NetApp Instaclustr operates managed open source data platforms, including Apache Kafka services for enterprise customers. The Senior Open Source Software Engineer will lead upstream Apache Kafka initiatives, provide committer-level reviews, contribute to release management, translate customer needs into community proposals, and mentor engineers while improving project infrastructure.

Responsibilities:

• Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality
• Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process
• Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through
• Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs
• Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap
• Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance
• Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden

Requirements:

• • A minimum of 12 years of applicable professional software engineering experience is required
• • Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering
• • Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth
• • Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI
• • Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge
• • Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads
• • Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives
• Bachelor's degree in engineering or technical related field of study Or additional equivalent experience
• • PMC membership in Apache Kafka or a related Apache project
• • Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization
• • Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements
• • History of mentoring contributors toward reviewer or committer standing in an open governance project
• • Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi