Posted by employer 7 months ago
First seen on Joblaze 6 months ago
Last verified on the company career page 6 hours ago
Skills & Technologies
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Java Engineer will enhance Elasticsearch's distributed systems by focusing on indexing, data allocation, and cluster coordination to ensure high performance and resilience. Proficiency in core Java, distributed systems, and consensus algorithms is essential, along with a strong grasp of algorithms and debugging complex systems. This position is ideal for experienced engineers who can manage projects from inception to completion and thrive in a collaborative environment. Elastic's commitment to diversity and employee well-being underscores its innovative culture.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Elastic's careers page November 4, 2026.
- This exact title is also open at 5 other locations at Elastic: Switzerland, Romania, Norway, Spain, Greece.
- Salary band is below the typical range for Backend roles (median ~$180,000).
- Starts above 6% of 95 comparable senior backend roles in United States that list Java we track (median $167,000 across 37 companies). See Java salary trends
- Java appears in 21.9% of 516 comparable senior backend roles in United States; Elasticsearch appears in 4.7% of 516 comparable senior backend roles in United States.
Quick facts
- Is the Senior Java Engineer - Distributed Systems, Serverless - Elasticsearch role remote?
- Yes — Elastic lists this as a fully remote position.
- What's the salary range?
- Elastic lists $133,100–$210,600 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Algorithms, Concurrency, Data structures, Elasticsearch, Java, Netty.
- 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.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
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