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 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 those nodes. You will build and operate 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. The role requires 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 with large-scale systems. Preferred technical knowledge includes Lucene, search, analytics, the JDK, and asynchronous event-driven network frameworks like Netty to solve complex infrastructure problems.

What you'll do

  • 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, 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.
  • Provide high-level technical support to engineers for complex troubleshooting problems.
  • Own operational investigations end-to-end until performance or stability issues are resolved.

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