Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination and safety/liveness properties, pushing scalability limits (shards, nodes, petabytes), investigating performance and stability issues end-to-end, and supporting cross-team operational and engineering efforts. Requires deep distributed systems expertise, strong Java and algorithm skills, and experience building large-scale distributed systems.

Lead design, build, and operate core distributed-systems components for Elasticsearch Serverless, focusing on scalability, performance, resilience, indexing, and cluster coordination. Requires deep Java, distributed systems, consensus algorithm, and large-scale system debugging experience.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of a next-generation Serverless Elasticsearch offering. Responsibilities include improving concurrent indexing, maintaining cluster coordination, addressing performance and concurrency issues, owning operational investigations, and scaling Elasticsearch to large numbers of shards, nodes, and petabytes.

Role is for a Principal Software Engineer on the Elasticsearch Distributed Systems team to design, build, and operate core pieces of a Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, increasing scalability (shards, nodes, petabytes), investigating performance and stability issues end-to-end, and supporting support engineers. Requires deep distributed systems and consensus algorithm expertise, strong core Java skills, and experience building large-scale distributed systems.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination for performance and safety, investigating and resolving performance/stability issues, and collaborating across teams. Requires deep distributed systems and consensus algorithm expertise and strong Java skills.

Join the Elasticsearch Distributed Systems team to design, build, and operate core Serverless Elasticsearch components. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, scaling shards/nodes, performance and concurrency debugging, and owning operational investigations. Requires strong Java, distributed systems, consensus algorithm, and large-scale system design experience.

Join Elasticsearch's Distributed Systems team to work on scale, performance, and resilience for the Serverless Elasticsearch product. Responsibilities include improving concurrent and consistent indexing, maintaining cluster coordination, scaling shards/nodes/data, diagnosing performance and concurrency issues, and owning operational investigations. Strong core Java, distributed systems, consensus algorithms, and debugging skills required. Typical starting salary range: €61,100–€96,600 EUR per year.

Work on core Elasticsearch distributed-systems components for the Serverless offering: concurrent and consistent indexing, cluster coordination, shard/node scalability, performance and concurrency issues, and end-to-end operational investigations. Requires strong core Java, distributed systems and consensus algorithm expertise, and experience debugging and optimizing complex, multi-node systems.

Work on core components of Serverless Elasticsearch addressing distributed-systems challenges: cluster communication, consistent concurrent indexing, data allocation, and cluster coordination. Requires deep distributed systems and consensus algorithm knowledge, strong Java and algorithm skills, experience debugging and operating highly distributed systems, and ability to own end-to-end operational investigations. Typical starting salary range: €67,000–€106,000 EUR.

Role to design and implement core distributed-systems components for Serverless Elasticsearch: indexing, cluster coordination, shard/node scale, performance and concurrency. Requires deep distributed-systems knowledge, strong Java (JDK), algorithms, concurrency, and experience debugging and operating large-scale clusters. Bonus: Netty, Lucene, data stores and search/analytics experience.

Work on deep distributed-systems problems for Elasticsearch Serverless: indexing, allocation, cluster coordination, and performance at scale. Requires strong Java skills, expertise in distributed systems and consensus algorithms, and experience debugging and operating multi-node systems. Candidates should be able to own technical projects end-to-end and support operational investigations.

Join the Elasticsearch Distributed Systems team to design, build, and operate core components of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing across machines, maintaining cluster coordination for performance and resilience, scaling shards/nodes/petabytes, investigating performance and stability issues end-to-end, and supporting support engineers. Requires deep distributed systems and consensus knowledge, strong core Java and algorithm skills; Lucene and Netty are listed as bonuses.

Join the Elasticsearch Distributed Systems team to build core pieces of the Serverless Elasticsearch offering. Responsibilities include improving concurrent and consistent indexing across machines, maintaining cluster coordination for safety and liveness, pushing scalability limits (shards, nodes, petabytes), investigating and resolving performance and stability issues, and collaborating across teams. Required skills include Java, distributed systems, consensus algorithms, and strong debugging and algorithmic abilities. Bonus experience: Lucene, Netty.

Work on deep distributed systems challenges for Serverless Elasticsearch: improve concurrent and consistent indexing, maintain cluster coordination and safety/liveness, push limits on shards/nodes/petabytes, investigate and resolve performance and stability issues, and support operational investigations. Role emphasizes core Java, algorithms, concurrency, and collaboration across teams.