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Sr. Open Source Software Engineer (Kafka)

220 000 - 265 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Ireland/Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Open Source Software Engineer (Kafka) (Apache Kafka/Java): Leading upstream Apache Kafka initiatives from KIP authoring and design consensus through implementation, review, and release with an accent on broker internals, replication, KRaft, Streams, Connect, observability, and release quality. Focus on binding committer reviews, translating enterprise production needs into accepted upstream improvements, improving CI and release infrastructure, and mentoring contributors.

Location: United States — Morrisville, North Carolina; San Jose, California; Waltham, Massachusetts; Raleigh, Boston, or Seattle. Requires 3 days per week in the office.

Salary: $220,000–$265,000 per year, with final compensation based on location, qualifications, experience, and education.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and managed open-source data platforms through hirify.global Instaclustr.

What you will do

  • Lead upstream Apache Kafka initiatives from KIP authoring and design consensus through implementation, review, and release.
  • Provide binding committer reviews for Kafka patches and community contributions.
  • Contribute to release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through.
  • Translate enterprise customer and operator needs into upstream proposals and advise product and field teams on complex Kafka trade-offs.
  • Influence Kafka architecture, protocol evolution, compatibility, release policy, contribution standards, and long-term roadmap.
  • Mentor contributors and improve CI reliability, test coverage, benchmarking, contributor tooling, release automation, and compatibility validation.

Requirements

  • Current Apache Kafka committer status with a sustained, publicly verifiable upstream record across patches, reviews, KIPs, and community participation.
  • At least 12 years of applicable professional software engineering experience.
  • Expert Java skills for performance-sensitive, concurrent, production-grade distributed systems.
  • Deep Apache Kafka expertise in at least one major area, such as broker storage, replication, KRaft, metadata management, consumer groups, protocols, Streams, Connect, observability, performance, or release engineering.
  • Experience leading technical work through the Apache governance model, including KIP authoring, design consensus, mailing-list engagement, and Jira-based delivery.
  • Strong written communication for asynchronous public collaboration through mailing lists, design documents, code reviews, and Jira.

Nice to have

  • PMC membership in Apache Kafka or a related Apache project.
  • Experience with current Kafka feature and maintenance areas, including KRaft maturity, metadata reliability, consumer rebalance protocols, exactly-once semantics, tiered storage, and release stabilization.
  • Experience connecting upstream technical leadership to enterprise customer and operator outcomes.
  • Mentoring experience in open-governance projects.
  • Familiarity with Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or Strimzi.

Culture & Benefits

  • Globally distributed open-source engineering team with up to 10% travel.
  • High-trust, high-accountability environment with significant autonomy and close collaboration.
  • Comprehensive benefits package that may include health and life insurance, retirement or pension plans, paid time off, leave options, performance incentives, employee stock purchase plans, and RSUs.
  • Hybrid working environment with in-office and in-person expectations.
  • Support for professional flexibility, ownership, initiative, and work-life balance.

Hiring process

  • Applications are reviewed through the hirify.global company website.
  • Some stages for select roles may use AI tools to support application evaluation and candidate selection.

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