Engineering Manager - Search Management - Elasticsearch

Elastic, the Search AI Company, enables everyone to find answers in real time using their data. The Engineering Manager for Search Management will lead a globally distributed team of engineers to enhance the Elasticsearch platform, ensuring high quality and innovative feature development while fostering a collaborative work culture.

Responsibilities:

• Manage, mentor and lead a globally distributed team of java engineers working on search functionality within Elasticsearch
• Lead the efficient delivery of search enhancements with regular releases of Elasticsearch, ensuring high quality and innovative feature development
• Work with our product managers to define requirements
• Foster a culture of mutual respect, collaboration and consensus based decision-making
• Stay true to the principles of software development as adopted by our team
• Build roadmaps and lead prioritization; balance the right amount of structure and planning for a fast-paced engineering team
• Identify resource requirements and help drive recruitment of high quality colleagues
• Support the development and training of direct reports through regular 1:1s and career conversations
• Be a great person to work with, somebody who sincerely empathizes with others

Requirements:

• Experience leading distributed teams of software engineers
• Ability to work in a distributed team throughout the world
• Strong communication skills, both verbal and written, with the ability to drive conversations across multiple teams to a conclusion
• Previous experience working with collaborators outside of Engineering
• You know and care about writing performant software and have traced and fixed performance issues yourself
• Ability to work in a fast paced environment
• Ability to work independently
• Significant experience as a hands-on software engineer so you understand the core principles of the engineering work that is going on in your team
• Experience working in Lucene or Solr
• Open Source experience
• Prior professional exposure to Elasticsearch
• Hands-on experience with Docker and Kubernetes