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Engineering Manager

R&D - RE/QE | Budapest, Hungary

Hortonworks is looking for an exceptional Engineering Manager to lead a smart team working on cutting-edge technology and manage the delivery on Hortonworks Data Platform maintenance releases. Exciting opportunity to gain experience working with Hadoop, understand big data use cases at world’s largest deployments of Hadoop, participate and contribute to the vibrant Apache Software Foundation community.

With Hortonworks Data Platform you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.

Primary Responsibilities:


  • Champion HDP maintenance releases (system test analysis, backports delivery and the development of new patches)
  • Gain a solid understanding and deep technical knowledge of Hadoop components across the stack, which you can utilize in your daily tasks.
  • Shape & execute our vision for fast cadence releases leveraging a CI/CD pipeline
  • Adopt Quality-as-a-service paradigm in HDP certification
  • Key stakeholder for shaping our stack certification matrix (OS, JDK, etc.)


  • Foster a competitive, fair and transparent team culture
  • Provide career development path both for individual contributors and managers
  • Set new standards for pre-emptive customer hotfixes
  • Proactively seek customer feedback from relevant teams (support, product management, program management, engineering managers)


  • Proven track record of leading and nurturing large teams of top engineering talent
  • Crisp communication and comfortable operating in a geo-distributed setup
  • Experience with large-scale, distributed systems design and development with strong understanding of scaling and performance.
  • Strong grasp of scalable back-end, streaming development, good experience in handling production and performance issues and all genres of platforms technologies
  • Hands on programmer with strong data-structures and algorithms, working experience with at least 2 of the following languages: Java / Python / Scala / C++
  • Clean coding habit approach, attention to detail, and focus on quality.
  • Must be a go-getter!
  • Leads by example
  • Relevant studies / BS or MS in Computer Science or related field.
  • Development experience in Linux environments.

Big pluses:

  • Hands-on experience with Microsoft Azure or similar IaaS.
  • Experience as Open Source contributor.
  • Big Data / NoSQL / distributed database experience.
  • Knowledge or experience with the Apache Hadoop ecosystem.

All employees are required to adhere to all Hortonworks employment policies, including without limitation information security policies. 


Having gone public with its IPO in December 2014, Hortonworks is experiencing extraordinary growth as we deliver essential support to the burgeoning big data and IoT communities. Hortonworks is an industry leading innovator that creates, distributes and supports enterprise-ready open data platforms and modern data applications that deliver actionable intelligence from all data: data-in-motion and data-at-rest. Hortonworks is focused on driving innovation in open source communities such as Apache Hadoop, Apache NiFi, and Apache Spark. Along with our 2,100+ partners, Hortonworks provides the expertise, training, and services that allow customers to unlock transformational value for their organizations across any line of business.

For more information, visit

Hortonworks, Powering the Future of Data, HDP and HDF are registered trademarks or trademarks of Hortonworks, Inc. and its subsidiaries in the United States and other jurisdictions.

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Engineering Manager | R&D - RE/QE | Budapest, Hungary

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