Join Elastic as a Principal Java Engineer to tackle distributed systems challenges in our Serverless Elasticsearch offering.
Posted by employer 1 day ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
Skills & Technologies
What you'll build
- Design, build, and operate core pieces of Serverless Elasticsearch
- Improve Elasticsearch’s components for concurrent indexing
- Maintain cluster coordination system for high performance
- Investigate performance or stability issues
- Support engineers with complex problems
Must have
- Deep background in distributed systems
- Strong skills in core Java
- Experience building large-scale distributed systems
- Ability to own projects from beginning to end
- Experience managing projects with multiple engineers
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
Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Principal Java Engineer will focus on enhancing Elasticsearch's distributed systems, particularly within the Serverless framework, by addressing challenges related to node communication and data management. Key skills include a strong command of core Java, distributed systems expertise, and experience with large-scale system architecture. This position is suited for seasoned engineers with a proven track record in building complex, high-impact features and managing collaborative projects. The team operates in a distributed environment, emphasizing autonomy and cross-functional collaboration.
Joblaze insights
- Listed today — first seen on Joblaze November 5, 2026. Last confirmed on Elastic's careers page November 5, 2026.
- This exact title is also open at 5 other locations at Elastic: United Kingdom, Switzerland, Ireland, Portugal, Greece.
- Starts above 32% of 66 comparable principal backend roles we track (median $110,260 across 12 companies).
Quick facts
- What's the salary range?
- Elastic lists PLN 369,400–PLN 584,300 for this role.
- 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 principal-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal 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 Principal 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 deep distributed systems expertise to design, 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 experience building large-scale distributed systems, rather than making use of off-the-shelf services.
- You have experience building and debugging complex 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 experience managing projects involving multiple engineers.
- 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.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
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