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Senior Java Engineer - Distributed Systems, Serverless - Elasticsearch

Join Elastic as a Senior Software Engineer to tackle distributed systems challenges in Elasticsearch's Serverless offering.

Location
Switzerland
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 6 hours ago

First seen on Joblaze 1 hour ago

Last verified on the company career page 1 hour ago

What you'll build

  • Build and operate core pieces of Serverless Elasticsearch
  • Improve components for concurrent indexing
  • Maintain cluster coordination system
  • Investigate performance and stability issues
  • Support engineers with complex problems

Must have

  • Deep background in distributed systems
  • Strong skills in core Java
  • Technical proficiency in algorithms
  • Experience with complex distributed systems
  • Ability to own projects end-to-end

Nice to have

  • Knowledge of data stores
  • Experience with search and analytics
  • Strong knowledge of the JDK
  • Familiarity with asynchronous event-driven frameworks

AI in the day-to-day

Engineers use AI to accelerate development, debug complex systems, and optimize code.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Benefits

Volunteer Time Off Flexible Work Schedule Generous Vacation Days Health Insurance Parental Leave

Joblaze summary

In this role, the Senior Java Engineer will focus on enhancing Elasticsearch's distributed systems, particularly within the Serverless framework, by addressing challenges related to data indexing and cluster coordination. Proficiency in core Java, distributed systems, and algorithms is essential, along with the ability to manage complex, multi-machine environments. This position is well-suited for experienced engineers who can autonomously drive projects from conception to resolution. Elastic fosters a collaborative culture, emphasizing diversity and flexibility in work arrangements.

Joblaze insights

  • Listed today — first seen on Joblaze October 23, 2026. Last confirmed on Elastic's careers page October 23, 2026.
  • This exact title is also open at 5 other locations at Elastic: Greece, Ireland, Romania, Spain, Norway.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Elasticsearch, Java, distributed systems, serverless.
What seniority level is this role?
Elastic targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Java Engineer - Distributed Systems, Serverless - Elasticsearch role at Elastic.

From the original posting

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role:

We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes.

What You Will Be Doing:

  • Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide.
  • Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.
  • Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.
  • Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today.
  • Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.
  • Supporting our support engineers with the harder problems.
  • Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.

What You Bring:

  • You have a deep background in distributed systems and consensus algorithms.
  • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
  • You have a deep technical proficiency in algorithms.
  • You have shown your ability to understand and work on complex, highly distributed systems, rather than making use of off-the-shelf services.
  • You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.
  • You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
  • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
  • You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points:

  • Data stores
  • Search, analytics, Lucene
  • Strong knowledge of the JDK
  • Asynchronous event-driven network frameworks such as Netty.

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