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5 дней назад

Manager, Software Engineering (Open Source)

196 350 - 292 600$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
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
Manager, Software Engineering (Open Source) (Open Source): Leading and growing a distributed open source engineering team while shaping contribution strategy across Cassandra, OpenSearch, Kafka, and Cadence with an accent on community engagement, upstream contributions, and customer value. Focus on defining team OKRs, influencing project roadmaps and governance, resolving complex upstream issues, and improving platform reliability, performance, and user experience.

Location: Hybrid, with in-office and/or in-person expectations, based in Morrisville, North Carolina; Cranberry Township, Pennsylvania; Waltham, Massachusetts; Wichita, Kansas; Boulder, Colorado; or San Jose, California, United States. The role requires up to 10% travel, including occasional international travel.

Salary: USD 196,350–292,600 per year, with final compensation determined by location, qualifications, experience, and education.

Company

hirify.global develops intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for traditional workloads and enterprise AI.

What you will do

  • Lead, mentor, and grow a distributed team of open source engineers.
  • Define the open source engagement strategy, team OKRs, delivery plans, budgets, risks, and resource allocation.
  • Partner with Product Management, Engineering, Support, Developer Relations, and Marketing to incorporate community feedback and resolve complex upstream issues.
  • Represent hirify.global in open source communities, foundations, working groups, technical forums, and industry events.
  • Build relationships with maintainers and influence project direction, governance, and contribution practices.
  • Drive hiring, onboarding, performance management, coaching, career development, executive updates, and adoption of AI tools that improve productivity.

Requirements

  • 8+ years of relevant industry experience and 3+ years of people management or leadership experience.
  • Strong understanding of open source development models, communities, and licensing, plus experience with distributed engineering teams.
  • Ability to review code and understand modern software development workflows; familiarity with Git, CI/CD pipelines, and IDEs.
  • Strong written and verbal communication skills, cross-functional collaboration experience, and the ability to influence without authority.
  • Knowledge of AI tools and practical AI use cases.
  • Working knowledge of AWS, Azure, or Google Cloud.
  • Strong organizational, planning, and prioritization skills; ability to work independently in a globally distributed environment.
  • Comfort with asynchronous communication and remote collaboration, including occasional meetings outside normal working hours.
  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical discipline, or equivalent practical experience.

Nice to have

  • Experience contributing to or leading open source projects or communities.
  • Familiarity with Cassandra, OpenSearch, Kafka, Cadence, or similar technologies.
  • Knowledge of object, block, and file storage technologies.
  • Experience representing organizations within foundations, steering committees, or working groups.
  • Experience defining and managing OKRs, strategy execution, and team metrics.

Culture & Benefits

  • Collaborative, globally distributed environment focused on authenticity, innovation, inclusion, and continuous learning.
  • Hybrid work environment with in-office and/or in-person expectations.
  • Health insurance, life insurance, retirement or pension plans, paid time off, leave options, performance-based incentives, employee stock purchase plans, and/or restricted stock, subject to regional variations.
  • Equal employment opportunity and compliance with applicable employment laws.

Hiring process

  • Applications are reviewed only when submitted through the hirify.global company website.
  • Some stages may use AI tools to support application evaluation and candidate selection alongside human decision-making.

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