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.

Responsible for driving adoption and net-new revenue for Elastic’s search, observability, and security SaaS solutions in mid-market accounts. Role requires technical and cloud fluency, value-based selling, deep discovery using frameworks such as MEDDPICC, managing complex sales cycles, executive negotiation, cross-functional collaboration with Solutions Architects and Customer Success, and advocating Elastic’s open-source and commercial offerings.

Elastic is hiring a Hunter Inside Sales Representative (Inside Account Executive) to develop and own a territory of ~500 whitespace accounts, drive new business through strategic prospecting, qualify opportunities, negotiate deals, and collaborate with cross-functional teams. Ideal candidates are near Austin, TX; New York, NY; or Arlington, VA and have 2+ years of hunting/new-account sales experience. Familiarity with observability or security analytics is a plus. Compensation includes base salary plus variable (OTE).

Individual contributor focused on hunting and developing net-new accounts (approximately 500-account territory) by prospecting, qualifying opportunities, negotiating deals, and collaborating with sales development, marketing, partners, product, and customer service. Requires 2+ years in hunting/new-account sales and familiarity with observability, security analytics, or developer-centric/open-source environments is a plus.

Role is an individual contributor inside sales (hunter) position responsible for owning ~500 whitespace accounts: developing territory and prospecting plans, qualifying opportunities, negotiating and closing deals, and forecasting. Requires 2+ years hunting/new account sales experience and familiarity with SaaS, search, observability or security analytics is a plus.

Lead technical authority for enterprise Elasticsearch deployments: design cluster topologies, govern capacity planning and shard strategy, operationalize vector/semantic search (kNN, ANN, ELSER, RAG), optimize performance and high-throughput indexing, and influence product and engineering teams. Requires 8+ years of senior architecture/engineering experience with deep Elasticsearch and distributed systems expertise.

Lead technical authority for large enterprise Elasticsearch deployments: translate complex requirements into resilient distributed retrieval architectures, design cluster topology and governance (capacity planning, shard strategy, ILM, CCR/CCS), operationalize vector/semantic search (kNN, ANN, ELSER, RAG), tune performance and high-throughput indexing, work with Product/Core Engineering/Sales, mentor engineers, and influence global architectural standards.

Serve as technical lead and trusted advisor for accounts in the region: engage customers and partners, drive technical discovery through to technical win, demonstrate Elastic products (search, AI, security, observability), enable sales and partners, and represent customer feedback to product and engineering. Role requires presales/solutions-architecture experience and willingness to travel ~30% regionally and occasionally internationally.

Responsible for driving sales strategy and adoption of Elastic products across DND and CAF, cultivating relationships with defence and government leaders, collaborating with system integrators, and aligning proposals with Canadian federal procurement frameworks. Requires deep understanding of DND/CAF missions and procurement, familiarity with SOCs, cybersecurity frameworks (e.g., ITSG-33), and Canadian Secret or Top Secret clearance.

Enterprise-wide senior leadership role reporting into Revenue Operations to define and execute Elastic's Field Technology & AI strategy. Owns four teams (Engineering, Data Science, Customer Data Strategy, Application Administration) to productize and operationalize AI use cases across GTM (examples: account scoring, next-best-action, seller copilots). Requires 12+ years' experience (including 7+ years in senior leadership). Based in the United States. Typical starting salary range: $212,100–$335,600 USD per year.

Elastic is hiring an Enterprise Account Executive focused on the retail market in Japan (Tokyo). The role is responsible for driving net-new revenue and expansion within enterprise accounts, positioning Elastic’s search, observability, and security solutions, managing complex sales cycles, using frameworks like MEDDPICC for qualification, and partnering cross-functionally to close deals. Candidates must demonstrate enterprise SaaS sales success in retail, technical/cloud fluency, and be fluent in Japanese and English.

Serve as the technical point of contact for assigned accounts and account managers, demonstrating Elastic products and solutions, advising on positioning, enabling partners, and driving technical wins. Role involves architecture and solution design, customer and partner enablement, event participation (meetups/conferences), and up to ~30% regional travel with occasional international travel. Listed base salary range: $89,600–$141,700 USD (annual).