Seeking a Principal Software Engineer on the Elasticsearch Analytical Engine team to define technical vision and implement data-intensive analytics features for ES|QL and the compute engine. Requires strong hands-on experience with Java, search/analytics systems (Elasticsearch, Splunk, etc.), data structures, algorithms, distributed systems, and cross-team leadership/mentorship. Role is full-time and distributed; compensation listed as an annual USD range.

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.

Join the globally distributed Elasticsearch Analytical Engine team as a Senior Software Engineer focused on building analytics capabilities in a new aggregation framework and the ES|QL query language. Responsibilities include designing and implementing features, optimizing data structures and algorithms, debugging low-level issues, collaborating across teams and with the open-source community, and writing idiomatic modern Java. Requires strong core Java, systems engineering, and experience with search or data storage technologies.

Lead technical presales role based in Delhi responsible for acting as technical authority and trusted advisor to sales, customers and partners. Focus areas include Elastic Stack, SIEM platforms, SOC workflows, security analytics and the impact of AI on SIEM. Role involves pre-sales discovery, solution design, partner enablement, customer-facing demonstrations, and up to ~30% regional/international travel.

Lead development and execution of a competitive intelligence program for Search, including product and pricing analysis, market and SWOT assessments, win/loss participation, and creation of enablement content (battlecards, training, blogs). Collaborate with product marketing, product management, sales, and engineering to inform positioning and GTM strategies and respond to competitor activity.

Elastic is hiring a Principal Competitive Intelligence Manager within Product Marketing for Search to analyze competitors (products, pricing, packaging, marketing, financials), produce enablement materials (battlecards, training, comparisons), support win/loss analysis, and collaborate with product, sales, and engineering to inform positioning and go-to-market efforts.

Lead product strategy and execution for Elastic Agent Builder, defining how enterprises build, manage, and scale context for AI agents. Work with customers, sales, engineering, data science, design, and cloud partners to develop roadmaps, benchmarking, UX, and evangelism. Requires 10+ years in product management for technical/cloud/platform products and deep familiarity with AI/ML (LLMs, RAG, vector DBs).

Elastic seeks a Senior Solutions Architect to serve as the technical point of contact within NATO, drive technical presales activities, demonstrate Elastic products (Elastic Stack), enable partners and sales, create collateral, and represent customer needs to engineering and leadership. Role requires minimum 4 years in technical presales, enterprise experience, and willingness to travel ~30%.

Design and build Elasticsearch platforms across self-managed, orchestrated and managed deployments. Own sizing, capacity planning, shard/index strategy, benchmarking, snapshot/restore and disaster recovery, and diagnose performance across the full stack (Elastic, JVM, OS, storage, network). Requires 8+ years hands-on with the Elastic Stack and strong Linux, storage and networking fundamentals.

Deliver end-to-end Elastic solutions and professional services for enterprise customers, including strategy, design, sizing, POCs, data modeling, query development, cluster tuning and scaling. Role requires an active Elastic Certified Engineer certification, 7+ years of relevant experience, hands-on cloud/on-prem and containerization skills, programming/scripting experience (e.g., Python, JavaScript, Go), and willingness to travel up to 20%.

Responsible for strategic design and hands-on implementation of Elastic observability solutions (metrics, logs, APM, UEM) across complex enterprise environments. Role requires driving end-to-end professional services engagements, workshops, sizing, cluster tuning, data modeling, query optimization, and working with cloud/on-prem infrastructure. Active Elastic Observability Engineer certification and at least 7 years of consulting or senior IT leadership experience required. Occasional travel (up to 20%) is expected.