Join Elastic as a Senior Java Developer to tackle distributed systems challenges in our Serverless Elasticsearch offering.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build and operate core pieces of Serverless Elasticsearch
- Improve Elasticsearch components for concurrent indexing
- Maintain cluster coordination system
- Investigate performance or stability issues
- Support engineers with complex problems
Must have
- Deep background in distributed systems
- Strong skills in core Java
- Deep technical proficiency in algorithms
- Ability to work on complex distributed systems
- Proven track record of using AI
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 Senior Java Developer will focus on enhancing Elasticsearch's distributed systems, particularly within the Serverless framework, by addressing challenges related to node communication and data management. Proficiency in core Java, distributed systems, and algorithms is essential, along with the ability to tackle complex issues in a highly concurrent environment. This position is suited for experienced developers with a strong background in building and debugging distributed systems. The team operates in a collaborative, distributed setting, emphasizing autonomy and cross-functional communication.
Joblaze insights
- Listed yesterday — first seen on Joblaze November 11, 2026. Last confirmed on Elastic's careers page November 11, 2026.
- This exact title is also open at 1 other location at Elastic: Canada.
- Starts at or below all 17 comparable senior backend roles in Canada that list Java we track (median $95,977 across 9 companies). See Java salary trends
- Java appears in 22.2% of 81 comparable senior backend roles in Canada; distributed systems appears in 4.9% of 81 comparable senior backend roles in Canada.
Quick facts
- What's the salary range?
- Elastic lists CAD 128,300–CAD 203,000 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 senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Java Developer - 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 Developer 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.
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.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
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