Senior Java Engineer, Distributed Systems, Serverless, Elasticsearch

Elastic

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Posted
92 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $188k
$142k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $157,200–$218,075.

Based on 240 similar postings.

Employer

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.

Most-posted roles

View all roles at Elastic

At a glance

TL;DR · Senior Java Engineer, Distributed Systems, Serverless, Elasticsearch

Senior Java Engineer - Distributed Systems, Serverless - Elasticsearch will join the Elasticsearch - Distributed Systems team to focus on scale, performance, and resilience for the company's serverless offering. The role involves tackling deep distributed systems challenges regarding how nodes in a cluster communicate and how data is indexed, allocated, and managed across those nodes. Key responsibilities include improving components for concurrent indexing, maintaining the cluster coordination system, and resolving complex performance or concurrency issues. The ideal candidate possesses a deep background in distributed systems and consensus algorithms, with strong skills in core Java, standard library data structures, and advanced algorithms. Preferred technical expertise includes experience with Lucene, search, analytics, the JDK, and asynchronous event-driven network frameworks like Netty. This role addresses critical infrastructure problems involving high-volume data management across multi-machine environments.

What you'll do

  • Build and operate core components for the next-generation Serverless Elasticsearch offering.
  • Improve system components that support concurrent and consistent indexing across multiple machines.
  • Maintain the cluster coordination system to ensure performance, safety, and liveness during node changes.
  • Scale the system to handle a massive number of shards, nodes, and petabytes of data.
  • Identify and resolve complex performance, concurrency, and stability issues.
  • Lead end-to-end operational investigations until technical issues are fully resolved.
  • Support support engineers in resolving high-complexity technical 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 deep technical proficiency in algorithms.
  • You have demonstrated ability to work on complex, highly distributed systems rather than off-the-shelf services.
  • You can own projects from beginning to end, including technical design and cross-team collaboration.
  • You have a proven track record of using AI to accelerate development, debug systems, and optimize code.
  • Experience with data stores, search, analytics, or Lucene (preferred).
  • Strong knowledge of the JDK or asynchronous event-driven network frameworks like Netty (preferred).

More like this

Similar roles