Principal Java Engineer, Distributed Systems, Serverless

Elastic

Confirmed live yesterday Low trust

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On-site
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Posted
91 days ago
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Confirmed live yesterday

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Similar $195k
$142k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $165,650–$223,750.

Based on 240 similar postings.

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About Elastic

Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.

Elastic currently has 240 open roles on FindRole.

Listed pay typically runs $133,100–$210,600 across 91 roles with salary data.

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TL;DR · Principal Java Engineer, Distributed Systems, Serverless

Principal Java Engineer - Distributed Systems, Serverless - Elasticsearch joins the Elasticsearch - Distributed Systems team to focus on scale, performance, and resilience within the serverless offering. This role involves tackling deep distributed systems challenges regarding how nodes in a cluster communicate and how data is indexed, allocated, and managed across nodes. The engineer will build core components for next-generation serverless features, improve concurrent indexing across multiple machines, and maintain the cluster coordination system to ensure safety and liveness as data moves. Key requirements include expertise in distributed systems, consensus algorithms, and core Java, including standard library data structures and concurrency constructs. Candidates should possess strong algorithmic skills and experience building large-scale systems rather than using off-the-shelf services. Preferred technical knowledge includes Lucene, the JDK, and Netty for asynchronous event-driven network frameworks.

What you'll do

  • Design, build, and operate core components of the next-generation Serverless Elasticsearch offering.
  • Improve components that support concurrent and consistent indexing across multiple machines.
  • Maintain the cluster coordination system to ensure performance during node changes and data movement.
  • Scale the system to handle a massive number of shards, nodes, and petabytes of data.
  • Identify and resolve complex performance, concurrency, and stability issues within distributed systems.
  • Lead end-to-end operational investigations until technical issues are fully resolved.
  • Provide high-level technical support to engineers for complex troubleshooting problems.

What we're looking for

  • You have a deep background in distributed systems and consensus algorithms.
  • You possess strong skills in core Java, including the standard library of data structures and concurrency constructs.
  • You have a deep technical proficiency in algorithms.
  • You have experience building large-scale distributed systems rather than using off-the-shelf services.
  • You have experience building and debugging complex features running on multiple machines.
  • You can own projects from beginning to end, including technical design and cross-team collaboration.
  • You have experience managing projects involving multiple engineers.
  • You have a proven track record of using AI to accelerate development and optimize code.
  • Knowledge of data stores, search, analytics, Lucene, the JDK, or Netty (preferred).

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